├── .acrolinx-config.edn ├── .cspell └── custom-dictionary-workspace.txt ├── .gitattributes ├── .github └── ISSUE_TEMPLATE │ └── config.yml ├── .gitignore ├── .openpublishing.publish.config.json ├── .openpublishing.redirection.json ├── .vscode ├── extensions.json └── settings.json ├── CODEOWNERS ├── LICENSE ├── LICENSE-CODE ├── README.md ├── SECURITY.md ├── ThirdPartyNotices └── ai-builder-docs ├── TOC.yml ├── activity-monitoring.md ├── add-inputs-prompt.md ├── administer-consumption-report.md ├── administer-licensing.md ├── administer.md ├── ai-builder-architecture.md ├── ai-builder-trials.md ├── availability-region.md ├── azure-openai-human-review.md ├── azure-openai-model-papp.md ├── azure-openai-model-pauto.md ├── batch-testing-prompts.md ├── before-you-build-text-classification-model.md ├── breadcrumb └── toc.yml ├── build-model.md ├── business-card-reader-component-in-powerapps.md ├── business-card-reader-component-model-driven.md ├── byo-model.md ├── byom-alm.md ├── byom-for-your-prompts.md ├── category-classification-training-report.md ├── change-prompt-output.md ├── collect-images.md ├── common-issues.md ├── create-a-custom-prompt.md ├── create-form-processing-model.md ├── create-text-classification-model.md ├── credit-management.md ├── custom-overview.md ├── distribute-model.md ├── distribute-prompt.md ├── doc-automation.md ├── docfx.json ├── draft-with-copilot.md ├── entity-extraction-create.md ├── entity-extraction-overview.md ├── entity-extraction-pwr-automate.md ├── entity-extraction-requirements.md ├── entity-extraction-sample-data.md ├── entity-extraction-train.md ├── extract-dates-and-numbers.md ├── faqs-text-generation.md ├── feedback-loop.md ├── flow-business-card-reader.md ├── flow-image-description.md ├── flow-invoice-processing.md ├── flow-key-phrase-extraction.md ├── flow-language-detection.md ├── flow-receipt-processing.md ├── flow-sentiment-analysis.md ├── flow-text-recognition.md ├── flow-text-translation.md ├── form-processing-faq.md ├── form-processing-model-in-flow.md ├── form-processing-model-overview.md ├── form-processing-model-requirements.md ├── form-processing-sample-data.md ├── form-processing-train.md ├── form-processing-transition.md ├── form-processor-component-in-powerapps.md ├── get-started-with-object-detection.md ├── id-reader.md ├── image-description-in-powerapps.md ├── improve-form-processing-performance.md ├── improve-text-classification-performance.md ├── includes ├── cc-beta-prerelease-disclaimer.md ├── cc-data-platform-banner.md ├── cc-preview-features-definition.md ├── footer-banner.md ├── responsible-ai-features.md ├── responsible-ai-intro.md ├── transparency-note-features.md └── transparency-note-intro.md ├── index.yml ├── interpret-confidence-score.md ├── learn-ai-builder.md ├── licensing-prompt-tokens.md ├── manage-model.md ├── media ├── AI Builder's prebuilt model combined with Power FX Cheat Sheet.png ├── DynModelId-1.png ├── DynModelId-2.png ├── DynModelId-3.png ├── DynModelId-4.png ├── activity-monitoring │ ├── activity-page.png │ ├── add-tool.png │ ├── ai-hub.png │ ├── details-page.png │ ├── export.png │ └── search.png ├── add-data.png ├── add-inputs-prompt │ ├── custom-prompt-add-input.png │ ├── document-input.png │ ├── input-file-extraction.png │ ├── input-power-fx-formula.png │ ├── input-text-summarize.png │ └── text-input.png ├── add-row-in-a-table.png ├── administer-consumption-report │ ├── credits-by-date.png │ ├── download-consumption.png │ └── in-progress.png ├── ai-builder-architecture │ ├── AIB-prompts-workflow.png │ ├── aib-architecture.png │ └── aib-models.png ├── ai-builder-managed-properties.png ├── ai-builder-trials │ ├── create-my-db.png │ └── start-free-trial.png ├── ai-capabilities.png ├── app-lifecycle.png ├── azure-openai-model-papp │ ├── data-source.png │ └── generate-text.png ├── azure-openai-model-pauto │ ├── create-prompt.png │ ├── post-message.png │ └── text-approval.png ├── batch-testing-prompts │ ├── add-test-case.png │ ├── ai-hub-prompts.png │ ├── evaluation-criteria.png │ ├── list-uploaded-test-case.png │ ├── more.png │ ├── run-details.png │ ├── run-history.png │ ├── run-tests.png │ ├── test-gub-get-started.png │ └── upload-test-case.png ├── byom-alm │ ├── alm-add-model.png │ ├── alm-add-ref.png │ ├── alm-add.png │ ├── alm-components.png │ ├── alm-format.png │ ├── alm-import.png │ ├── alm-key-v2.png │ ├── alm-key.png │ ├── alm-optional-export.png │ ├── alm-ref-format.png │ ├── alm-remove.png │ ├── alm-solution-new.png │ ├── alm-solution.png │ ├── alm-stage-1.png │ └── alm-stage-2.png ├── byom-for-your-prompts │ ├── add-prompt.png │ ├── add-tool-in-tab.png │ ├── add-tool.png │ ├── byom-connect.png │ ├── connect-foundry-model.png │ ├── connect-from.png │ ├── contoso-connections.png │ ├── image-doc-models.png │ ├── new-tool-prompt.png │ ├── ppac-dlp.png │ ├── prompt-description.png │ ├── prompt-model.png │ ├── save-prompt-topic-copilot.png │ ├── save-prompt-topic.png │ └── save-topic.png ├── byom-imported.png ├── canvas-app-action-menu.png ├── canvas-app-add-labels.png ├── canvas-app-done.png ├── canvas-app-formula.png ├── cclass-error-invalid.png ├── cclass-tags.png ├── change-model-ownership-advanced-find.png ├── change-model-ownership-ai-builder-dataset-container.png ├── change-model-ownership-settings.png ├── change-model-ownership-view.png ├── change-prompt-output │ ├── auto-detect.png │ ├── back-auto.png │ ├── custom-format.png │ ├── gpt-output-json-flow.png │ ├── invoice-prompt.png │ ├── output-flow-prompt.png │ ├── output-flow.png │ ├── output-settings.png │ └── test-prompt-auto.png ├── circle-dot.png ├── circle-fill.png ├── circle-no-fill.png ├── create-a-custom-prompt │ ├── custom-prompt-add-input.png │ ├── custom-prompt-input-sample.png │ ├── custom-prompt.png │ └── prompt-engineering-guide.png ├── create-flow.png ├── create-form-processing-model │ ├── choose_information_to_extract.png │ ├── document-processing-select-document-type.png │ ├── form-processing-multiple-layout-add-documents.gif │ ├── form-processing-multiple-layout-create-collections.gif │ ├── model_settings1.png │ ├── preview_fixed_templates.png │ ├── preview_general_documents.png │ └── select_documents_type.png ├── credit-management │ ├── credits.png │ └── ppac-consumption.png ├── deploy-samples-setting.png ├── doc-automation.png ├── doc-processing-multiple-layout-not-available-in-collection.gif ├── document-processing-continue-tagging-doc.gif ├── document-processing-tag-multipage-table-1.png ├── document-processing-tag-multipage-table-2.png ├── draft-with-copilot │ ├── edit-test.png │ ├── keep-it.png │ ├── sign-in.png │ └── write-prompt.png ├── entity-download.png ├── entity-excel.png ├── entity-import-csv.png ├── entity-import-map-done.png ├── entity-import-map-view.png ├── entity-import-map.png ├── entity-import.png ├── entity-solution.png ├── excel-extracted-data-id-reader.png ├── excel-table.png ├── extract-dates-and-numbers │ ├── date-field-format.png │ ├── date-field-overview.png │ ├── number-field-format.png │ └── number-field-overview.png ├── feedback-loop-action.png ├── feedback-loop-condition.png ├── feedback-loop-datasource.png ├── feedback-loop-section.png ├── file-content.png ├── flow-EE-prebuilt1.png ├── flow-add-phrase-2.png ├── flow-bcr.png ├── flow-business-card-overview-2.png ├── flow-ccc-example.png ├── flow-ccc-overview.png ├── flow-ccp-example.png ├── flow-ccp-overview.png ├── flow-eec-example.png ├── flow-eec-overview.png ├── flow-eep-example.png ├── flow-fp-overview-2AA.png ├── flow-id-reader-email.png ├── flow-identity-docs.png ├── flow-image-description │ ├── file-content-dynamic-content-list.png │ └── send-an-email-image-generated.png ├── flow-kpe.png ├── flow-my-image-2.png ├── flow-process-and-save.png ├── flow-respond-to-power-app.png ├── flow-select-file-content-2.png ├── flow-sentiment-analysis-12.png ├── flow-sentiment-analysis-22.png ├── form-editor-add-control.png ├── form-editor-binding-properties.png ├── form-processing-advanced-tagging-mode.gif ├── form-processing-checkbox-tag.gif ├── form-processing-convert-date.gif ├── form-processing-convert-number.gif ├── form-processing-delimit.png ├── form-processing-filter-sig.png ├── form-processing-grid-tagging.gif ├── form-processing-iterate-table-1.png ├── form-processing-iterate-table-2.png ├── form-processing-multiple-layout-tag-fields.gif ├── form-processing-remove-currency.gif ├── form-processing-remove-spaces.gif ├── form-processing-retreive-checkbox-2.gif ├── form-processing-retreive-checkbox.png ├── form-processing-table-example.png ├── form-processing-tag-table-nested-items.png ├── form-select-fields.png ├── fp-pagerange.png ├── get-excel.png ├── green-tea-example-2.png ├── image-background.png ├── image-camera-angle.png ├── image-description-in-powerapps │ ├── image-extracted-from-model.png │ └── use-in-app.png ├── image-lighting.png ├── image-object-size.png ├── image-unexpected-results.png ├── improve-the-performance-of-your-form-processing-model │ ├── accuracy-score.png │ ├── field-evaluation-poor.png │ ├── field-evaluation.png │ ├── form-processing-edit-model.png │ └── model-evaluation.png ├── interpret-confidence-score │ ├── document-processing-predict-confidence-score-cloud-flow-result.png │ ├── document-processing-predict-confidence-score_cloud-flow.png │ ├── quick-test-confidence-score-table-cells.png │ └── quick-test-confidence-score-table.png ├── invoice-and-form-process-flow.png ├── invoice-and-form-process-flow2.png ├── invoice-and-form-process-flow3.png ├── invoice-available-document.png ├── invoice-default-view.png ├── invoice-override-fields.png ├── invoice-processing-kvp-definition.png ├── invoice-processing-kvp-extract.png ├── invoice-processing-kvp-run.png ├── ip-flow-example.png ├── ip-flow-my-invoice.png ├── ip-pagerange.png ├── licensing-prompt-tokens │ ├── credits-prompt-builder.png │ └── tokens-prompt-flow.png ├── manage-model.png ├── map-columns.png ├── map-excel.png ├── model-driven-app-scr.png ├── model-lifecycle.png ├── model-used-box.png ├── new-version-menu.png ├── no-dataverse.png ├── power-apps-aibuilder.png ├── power-automate-ai-models.png ├── power-automate-ai-models.svg ├── powerfx-in-powerapps │ ├── app-controls.png │ ├── bonjour.png │ ├── data-sources.png │ ├── language-detection.png │ ├── language-formula.png │ └── play.png ├── ppac-capacity-screen.png ├── prebuilt-azure-openai │ └── text-generation-works.png ├── prebuilt-invoice-processing-powerapps │ ├── invoice-processing-all-available-field-formula.png │ ├── invoice-processing-concat-description-result.png │ ├── invoice-processing-first-description-result.png │ └── invoice-processing-invoice-id-result.png ├── prebuilt-prompts-in-dataverse-plug-in-powerapps │ ├── components.png │ ├── create-plug-in.png │ ├── form-field-height.png │ ├── new-column.png │ └── summary.png ├── predict-action.png ├── predict-configure-trigger.png ├── predict-errors.png ├── predict-history-rows.png ├── predict-icon-error.png ├── predict-icon-warn.png ├── predict-rows.png ├── predict-warn-drop.png ├── predict-warn-perf.png ├── prep-block.png ├── prep-config.png ├── prep-credentials.png ├── prep-download.png ├── prep-dp-login.png ├── prep-exe.png ├── prep-finish.png ├── prep-install.png ├── prep-run-dp.png ├── prep-solutions.png ├── prep-welcome.png ├── prompt-library │ ├── copilot-studio-browse-prompt-library.png │ ├── prompt-library-select-jobtype-task.png │ ├── see-all-templates.png │ ├── select-browse-prompt-library.png │ ├── select-build-yourown-prompt.png │ └── select-prompt-template.png ├── publish-model.png ├── quick-test.png ├── rp-flow-example.png ├── rp-flow-my-receipt.png ├── rp-pagerange.png ├── schedule-cadence.png ├── schedule-screen.png ├── security-roles-screen-updated.png ├── security-roles-screen.png ├── select-environment.png ├── select-images.png ├── select-import.png ├── sentiment-analysis-template.png ├── sentiment-analysis-template2.png ├── start-trial.png ├── tag-created.png ├── tag-image-associate-name.png ├── templates-feedbackloop.png ├── templates-list.png ├── text-class-create-tags.png ├── text-class-create-text.png ├── text-flow-example-2.png ├── text-flow-example2-2.png ├── text-flow-fulldoctext.png ├── text-translation-flow-example.png ├── train-model.png ├── trigger-text-flow-2.png ├── trigger-text-recognition-2.png ├── trigger-text-translation.png ├── upload-excel.png ├── use-a-custom-prompt-in-app │ ├── add-data-source.png │ └── insert-menu.png ├── use-a-custom-prompt-in-flow │ ├── approvals.png │ ├── condition-expression.png │ ├── custom-prompt.png │ ├── gpt-parameters.png │ ├── input-parameter.png │ ├── input-text-dynamic.png │ ├── input-text.png │ ├── new-prompt.png │ ├── outputs-teams.png │ ├── post-message.png │ ├── see-more.png │ ├── start-and-wait.png │ ├── title-suggested-assigned-to.png │ └── use-gpt-response.png ├── use-a-custom-prompt-in-mcs │ ├── add-node.png │ ├── add-plugin.png │ ├── add-prompt-action.png │ ├── call-an-action.png │ ├── name-description.png │ ├── review-test-publish.png │ └── test-prompt.png ├── use-a-prompt-to-read-document-identity │ └── id-reader-app.png ├── use-prompt-to-read-a-receipt │ └── receipt-reader-app.png └── use-your-own-prompt-data │ ├── add-data.png │ ├── filter-data.png │ ├── question-data.png │ ├── select-data-source.png │ └── use-connectors.png ├── message-management.md ├── model-types.md ├── object-detection-model-in-flow.md ├── object-detection-overview.md ├── object-detection-sample-data.md ├── object-detection-train-model.md ├── object-detection-transition.md ├── object-detector-component-in-powerapps.md ├── overview.md ├── powerfx-in-powerapps.md ├── prebuilt-azure-openai.md ├── prebuilt-business-card.md ├── prebuilt-category-classification-pwr-automate.md ├── prebuilt-category-classification.md ├── prebuilt-entity-extraction-pwr-automate.md ├── prebuilt-entity-extraction.md ├── prebuilt-id-reader.md ├── prebuilt-image-description.md ├── prebuilt-invoice-processing-powerapps.md ├── prebuilt-invoice-processing.md ├── prebuilt-key-phrase.md ├── prebuilt-language-detection.md ├── prebuilt-overview.md ├── prebuilt-prompts-in-dataverse-plug-in-powerapps.md ├── prebuilt-prompts.md ├── prebuilt-receipt-processing.md ├── prebuilt-receipt-processor-component-in-powerapps.md ├── prebuilt-sentiment-analysis.md ├── prebuilt-text-recognition.md ├── prebuilt-text-recognizer-component-in-powerapps.md ├── prebuilt-text-translation.md ├── predict-action-pwr-automate.md ├── prediction-create-model.md ├── prediction-data-prep.md ├── prediction-model-driven-app.md ├── prediction-overview.md ├── prediction-performance.md ├── prediction-prereq.md ├── prediction-pwr-automate.md ├── prediction-sample-data.md ├── prediction-train-model.md ├── prediction-training-report.md ├── prediction-use.md ├── previewability-scenarios.md ├── prompt-library.md ├── prompt-modelsettings.md ├── prompts-overview.md ├── publish-model.md ├── publish-text-classification-model.md ├── responsible-ai-overview.md ├── samples.md ├── security.md ├── share-model.md ├── share-your-experience.md ├── share-your-prompt.md ├── sharepoint-overview.md ├── support.md ├── tag-form-processing-model.md ├── teams-templates.md ├── text-classification-model-in-flow.md ├── text-classification-model-use-tags.md ├── text-classification-overview.md ├── text-classification-performance.md ├── text-classification-sample-data.md ├── text-classification-view-predictions.md ├── train-model.md ├── train-text-classification-model.md ├── use-a-custom-prompt-in-app.md ├── use-a-custom-prompt-in-flow.md ├── use-a-custom-prompt-in-mcs.md ├── use-a-prompt-to-read-document-identity.md ├── use-in-flow-overview.md ├── use-in-flow-prereq.md ├── use-in-powerapps-overview.md ├── use-model.md ├── use-prompt-to-read-a-receipt.md └── use-your-own-prompt-data.md /.acrolinx-config.edn: -------------------------------------------------------------------------------- 1 | {:allowed-branchname-matches ["^main$"] 2 | :allowed-filename-matches ["ai-builder-docs"] 3 | :use-skip-label true 4 | :targets 5 | { 6 | :scores 7 | { 8 | :qualityscore 80 9 | } 10 | } 11 | :guidance-profile "dc59e3ef-24fd-46d7-9156-0491aaae6bef" ;; Profile ID for "BAG-specific" 12 | :acrolinx-check-settings 13 | { 14 | "languageId" "en" 15 | "ruleSetName" "Standard" 16 | "requestedFlagTypes" ["SPELLING" "GRAMMAR" "STYLE" 17 | "TERMINOLOGY_DEPRECATED" 18 | "TERMINOLOGY_VALID" 19 | "VOICE_GUIDANCE" 20 | ] 21 | "termSetNames" ["BAG" "Microsoft" "Products"] 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /.cspell/custom-dictionary-workspace.txt: -------------------------------------------------------------------------------- 1 | # Custom Dictionary Words 2 | -------------------------------------------------------------------------------- /.gitattributes: -------------------------------------------------------------------------------- 1 | # Set the default behavior, in case people don't have core.autocrlf set. 2 | * text=auto 3 | 4 | # Explicitly declare text files you want to always be normalized and converted 5 | # to native line endings on checkout. 6 | *.c text 7 | *.h text 8 | 9 | # Declare files that will always have CRLF line endings on checkout. 10 | *.sln text eol=crlf 11 | 12 | # Denote all files that are truly binary and should not be modified. 13 | *.png binary 14 | *.jpg binary -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/config.yml: -------------------------------------------------------------------------------- 1 | blank_issues_enabled: false 2 | contact_links: 3 | - name: Important update on GitHub Issues [select Open to know more] 4 | url: https://learn.microsoft.com/office/new-feedback 5 | about: We're transitioning our feedback experience away from GitHub Issues. For more information, select Open. -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | log/ 2 | obj/ 3 | _site/ 4 | .optemp/ 5 | _themes*/ 6 | _repo.*/ 7 | 8 | .openpublishing.buildcore.ps1 -------------------------------------------------------------------------------- /.openpublishing.publish.config.json: -------------------------------------------------------------------------------- 1 | { 2 | "docsets_to_publish": [ 3 | { 4 | "docset_name": "ai-builder", 5 | "build_source_folder": "ai-builder-docs", 6 | "build_output_subfolder": "ai-builder", 7 | "locale": "en-us", 8 | "monikers": [], 9 | "moniker_ranges": [], 10 | "open_to_public_contributors": true, 11 | "type_mapping": { 12 | "Conceptual": "Content", 13 | "ManagedReference": "Content", 14 | "RestApi": "Content" 15 | }, 16 | "build_entry_point": "docs", 17 | "template_folder": "_themes" 18 | } 19 | ], 20 | "notification_subscribers": [], 21 | "sync_notification_subscribers": [], 22 | "branches_to_filter": [], 23 | "git_repository_url_open_to_public_contributors": "https://github.com/MicrosoftDocs/ai-builder", 24 | "git_repository_branch_open_to_public_contributors": "main", 25 | "need_preview_pull_request": true, 26 | "dependent_repositories": [ 27 | { 28 | "path_to_root": "_themes", 29 | "url": "https://github.com/Microsoft/templates.docs.msft", 30 | "branch": "main", 31 | "branch_mapping": {} 32 | }, 33 | { 34 | "path_to_root": "_themes.pdf", 35 | "url": "https://github.com/Microsoft/templates.docs.msft.pdf", 36 | "branch": "main", 37 | "branch_mapping": {} 38 | }, 39 | { 40 | "path_to_root": "shared-content", 41 | "url": "https://github.com/MicrosoftDocs/powerapps-docs-pr", 42 | "branch": "main", 43 | "branch_mapping": {} 44 | } 45 | ], 46 | "branch_target_mapping": { 47 | "live": [ 48 | "Publish", 49 | "Pdf" 50 | ], 51 | "main": [ 52 | "Publish", 53 | "Pdf" 54 | ] 55 | }, 56 | "targets": { 57 | "pdf": { 58 | "template_folder": "_themes.pdf" 59 | } 60 | }, 61 | "docs_build_engine": {}, 62 | "skip_source_output_uploading": false, 63 | "contribution_branch_mappings": {}, 64 | "need_generate_pdf_url_template": true 65 | } -------------------------------------------------------------------------------- /.vscode/extensions.json: -------------------------------------------------------------------------------- 1 | { 2 | "recommendations": [ 3 | "jimmyloyola.ghost-writer" 4 | ] 5 | } -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "markdownlint.config": { 3 | "MD028": false, 4 | "MD025": { 5 | "front_matter_title": "" 6 | } 7 | }, 8 | "cSpell.words": [ 9 | "Dataverse", 10 | "guten", 11 | "powerfx" 12 | ], 13 | "cSpell.customDictionaries": { 14 | "custom-dictionary-workspace": { 15 | "name": "custom-dictionary-workspace", 16 | "path": "${workspaceFolder:ai-builder-pr}/.cspell/custom-dictionary-workspace.txt", 17 | "addWords": true, 18 | "scope": "workspace" 19 | } 20 | } 21 | } -------------------------------------------------------------------------------- /CODEOWNERS: -------------------------------------------------------------------------------- 1 | # Lines starting with '#' are comments. 2 | # Each line is a file pattern followed by one or more owners. 3 | 4 | /ai-builder-docs @tapanm-MSFT @v-aangie 5 | -------------------------------------------------------------------------------- /LICENSE-CODE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | Copyright (c) Microsoft Corporation 3 | 4 | Permission is hereby granted, free of charge, to any person obtaining a copy of this software and 5 | associated documentation files (the "Software"), to deal in the Software without restriction, 6 | including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, 7 | and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, 8 | subject to the following conditions: 9 | 10 | The above copyright notice and this permission notice shall be included in all copies or substantial 11 | portions of the Software. 12 | 13 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT 14 | NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 15 | IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, 16 | WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE 17 | SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## Microsoft Open Source Code of Conduct 2 | This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). 3 | For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. 4 | 5 | -------------------------------------------------------------------------------- /ThirdPartyNotices: -------------------------------------------------------------------------------- 1 | ##Legal Notices 2 | Microsoft and any contributors grant you a license to the Microsoft documentation and other content 3 | in this repository under the [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/legalcode), 4 | see the [LICENSE](LICENSE) file, and grant you a license to any code in the repository under the [MIT License](https://opensource.org/licenses/MIT), see the 5 | [LICENSE-CODE](LICENSE-CODE) file. 6 | 7 | Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation 8 | may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries. 9 | The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks. 10 | Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653. 11 | 12 | Privacy information can be found at https://privacy.microsoft.com/en-us/ 13 | 14 | Microsoft and any contributors reserve all others rights, whether under their respective copyrights, patents, 15 | or trademarks, whether by implication, estoppel or otherwise. -------------------------------------------------------------------------------- /ai-builder-docs/breadcrumb/toc.yml: -------------------------------------------------------------------------------- 1 | - name: Docs 2 | href: / 3 | topicHref: / 4 | items: 5 | - name: Power Platform 6 | href: /power-platform/ 7 | topicHref: /power-platform/ 8 | items: 9 | - name: AI Builder 10 | tocHref: /ai-builder/ 11 | topicHref: /ai-builder/ 12 | -------------------------------------------------------------------------------- /ai-builder-docs/common-issues.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Common issues and resolutions for AI Builder 3 | description: Get a list of common issues in AI Builder and their potential workarounds. 4 | author: phil-cmd 5 | contributors: 6 | - phil-cmd 7 | - v-aangie 8 | ms.topic: article 9 | ms.custom: 10 | ms.date: 01/28/2025 11 | ms.author: plarrue 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # Common issues and resolutions for AI Builder 16 | 17 | The information about common issues in AI Builder and their potential workarounds is now available at [AI Builder troubleshooting](/troubleshoot/power-platform/ai-builder/welcome-ai-builder). 18 | 19 | ## Related information 20 | 21 | [Get support for AI Builder](support.md) 22 | 23 | 24 | [!INCLUDE[footer-include](includes/footer-banner.md)] 25 | -------------------------------------------------------------------------------- /ai-builder-docs/create-text-classification-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Create a category classification custom model - AI Builder 3 | description: Learn how to create a category classification model. 4 | author: ashishb 5 | contributors: 6 | - ashishb 7 | - phil-cmd 8 | - v-aangie 9 | ms.topic: how-to 10 | ms.custom: 11 | ms.date: 01/27/2025 12 | ms.author: ashbhati 13 | ms.reviewer: angieandrews 14 | --- 15 | 16 | # Create a category classification custom model 17 | 18 | Now that you have your training data in Microsoft Dataverse, you can create a new model and configure it. 19 | 20 | 1. Sign in to [Power Apps](https://make.powerapps.com/) or [Power Automate](https://make.powerautomate.com). 21 | 1. On the left pane, select **... More** > **AI hub**. 22 | 1. Under **Discover an AI capability**, select **AI models**. 23 | 24 | *(Optional)* To keep AI models permanently on the menu for easy access, select the pin icon. 25 | 26 | 1. Select **Text**. 27 | 1. Select **Category classification - Classify texts into custom categories**. 28 | 1. Read the **Classify texts into custom categories** page, and then select **Create custom model**. 29 | 1. Choose **Select text**, select the table, select the column where your training text is stored, and then choose **Select column**. 30 | 1. Select **Next**. 31 | 1. Choose **Select tags**, select the column where the tags are stored, and then choose **Select column**. 32 | 1. (If not pre-selected) Select the separator you used for your tags, and then select **Next**. 33 | 1. Review your text and tags to verify the data and the configuration you applied, and then select **Next**. 34 | 1. Select the language you want to use for training, and then select **Next**. 35 | 36 | That's it! Now you can train your AI model. 37 | 38 | ### Next step 39 | 40 | [Train your category classification model](train-text-classification-model.md) 41 | 42 | 43 | [!INCLUDE[footer-include](includes/footer-banner.md)] 44 | -------------------------------------------------------------------------------- /ai-builder-docs/custom-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview of custom AI models - AI Builder 3 | description: Learn about the custom AI models that are available in AI Builder. 4 | author: phil-cmd 5 | ms.topic: overview 6 | ms.date: 01/27/2025 7 | ms.author: plarrue 8 | ms.reviewer: angieandrews 9 | --- 10 | 11 | # Overview of custom AI models 12 | 13 | Your enterprise has unique attributes. Custom AI models are trained using your proprietary data, and tailored specifically to your documents, text, and images. 14 | 15 | These models are meticulously crafted to meet the specific demands of your business need. 16 | 17 | Custom models are available in Power Automate and Power Apps. The following custom models are available in AI Builder. 18 | 19 | - [Document processing](form-processing-model-overview.md): Extract custom information from documents. 20 | - [Category classification](text-classification-overview.md): Classify texts into custom categories. 21 | - [Entity extraction](entity-extraction-overview.md): Extract custom entities from your text. 22 | - [Prediction](prediction-overview.md): Predict future outcomes from historical data. 23 | - [Object detection](object-detection-overview.md): Detect custom objects in images. 24 | - [Azure machine learning models](byo-model.md): Bring and package your own model. 25 | 26 | ## Related information 27 | 28 | - [AI Builder in Power Automate overview](use-in-flow-overview.md) 29 | - [AI Builder in Power Apps overview](use-in-powerapps-overview.md) 30 | - [Feature availability by region](availability-region.md) -------------------------------------------------------------------------------- /ai-builder-docs/doc-automation.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Document automation toolkit - AI Builder 3 | description: Learn how to automate document processing in AI Builder. 4 | author: CedrickBellarosa 5 | contributors: 6 | - CedrickBellarosa 7 | - phil-cmd 8 | - v-aangie 9 | ms.topic: article 10 | ms.custom: 11 | ms.date: 11/20/2024 12 | ms.author: cdbellar 13 | ms.reviewer: angieandrews 14 | --- 15 | 16 | # Document automation toolkit 17 | 18 | The Document automation toolkit allows you to easily set up a rich and robust document processing solution using AI Builder, Power Automate, Power Apps, and Microsoft Dataverse. 19 | 20 | > [!div class="mx-imgBorder"] 21 | > ![process diagram.](media/doc-automation.png "Diagram showing the stages of document automation") 22 | 23 | Power Automate will orchestrate the overall process while AI Builder will bring the intelligence required to efficient extract information from documents. Power Apps will allow users to manually review and approve documents, and Dataverse will manage the document queue, store all the data, files, and configuration information. 24 | 25 | ## Get started 26 | 27 | You can access the [document automation toolkit](https://flow.microsoft.com/manage/aibuilder/documentautomation) in Power Automate. 28 | 29 | ## Learn about the toolkit 30 | 31 | To get step-by-step instructions on how to install, configure, and use the document automation kit, go to [Training: Automate the processing of documents with the AI Builder prepackaged solution (module)](/training/modules/get-started-ai-builder-document-automation/). 32 | 33 | ## Related information 34 | 35 | [Create a document processing model](create-form-processing-model.md) 36 | 37 | [!INCLUDE[footer-include](includes/footer-banner.md)] 38 | -------------------------------------------------------------------------------- /ai-builder-docs/docfx.json: -------------------------------------------------------------------------------- 1 | { 2 | "build": { 3 | "content": [ 4 | { 5 | "files": [ 6 | "**/*.md", 7 | "**/*.yml" 8 | ], 9 | "exclude": [ 10 | "**/obj/**", 11 | "**/includes/**", 12 | "_themes/**", 13 | "_themes.pdf/**", 14 | "README.md", 15 | "LICENSE", 16 | "LICENSE-CODE", 17 | "ThirdPartyNotices" 18 | ] 19 | } 20 | ], 21 | "resource": [ 22 | { 23 | "files": [ 24 | "**/*.png", 25 | "**/*.jpg", 26 | "**/*.gif", 27 | "**/*.svg", 28 | "**/includes/media/**" 29 | ], 30 | "exclude": [ 31 | "**/obj/**", 32 | "**/includes/**", 33 | "_themes/**", 34 | "_themes.pdf/**" 35 | ] 36 | } 37 | ], 38 | "overwrite": [], 39 | "externalReference": [], 40 | "globalMetadata": { 41 | "contributors_to_exclude": [ 42 | "buck1ey", 43 | "bishalgoswami", 44 | "kathleenmcgrath", 45 | "marycc", 46 | "tinaburden", 47 | "almostdunh", 48 | "AshleyWoodruff", 49 | "kimberleybrown", 50 | "nathlaroche" 51 | ], 52 | "breadcrumb_path": "/ai-builder/breadcrumb/toc.json", 53 | "uhfHeaderId": "MSDocsHeader-PowerPlatform", 54 | "feedback_system": "Standard", 55 | "feedback_product_url": "https://go.microsoft.com/fwlink/?linkid=2092048", 56 | "search.app": [ 57 | "PowerApps", 58 | "Flow", 59 | "powerapps-docs", 60 | "powerautomate-docs" 61 | ], 62 | "recommendations": true 63 | }, 64 | "fileMetadata": { 65 | "searchScope": { 66 | "**.*": [ 67 | "Power Platform", 68 | "AI Builder" 69 | ] 70 | }, 71 | "ms.collection": { 72 | "**.*": [ 73 | "bap-ai-copilot" 74 | ] 75 | }, 76 | "ms.service": { 77 | "**.*": "ai-builder" 78 | } 79 | }, 80 | "template": [], 81 | "dest": "ai-builder", 82 | "markdownEngineName": "markdig" 83 | } 84 | } 85 | -------------------------------------------------------------------------------- /ai-builder-docs/entity-extraction-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Entity extraction custom AI model overview - AI Builder 3 | description: Learn about the custom entity extraction AI model in AI Builder. 4 | author: ashishb 5 | contributors: 6 | - ashishb 7 | - phil-cmd 8 | - v-aangie 9 | ms.topic: overview 10 | ms.date: 04/08/2020 11 | ms.author: ashbhati 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # Overview of the entity extraction custom model (preview) 16 | 17 | AI Builder entity extraction models recognize specific data in text that you target based on your business needs. The model identifies key elements in the text and then classifies them into predefined categories. This can help you transform unstructured data into structured data that's machine-readable. You can then apply processing to retrieve information, extract facts, and answer questions. 18 | 19 | AI Builder features two types of entity extraction models: prebuilt and custom. [Prebuilt models](prebuilt-overview.md) are ready to use, don't require training or publishing, and are appropriate for many uses where customization isn't needed. Custom entity extraction models must be built, trained, and published before you can use them. By using your own training data and design parameters, you can create an entity extraction model that's purpose-built for your unique requirements. 20 | 21 | ## Related information 22 | 23 | [Entity extraction prebuilt model](prebuilt-entity-extraction.md) 24 | 25 | 26 | [!INCLUDE[footer-include](includes/footer-banner.md)] -------------------------------------------------------------------------------- /ai-builder-docs/entity-extraction-requirements.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Entity extraction custom AI model requirements and limitations - AI Builder 3 | description: Learn about the requirements and limitations of the custom entity extraction AI model in AI Builder. 4 | author: ashishb 5 | contributors: 6 | - ashishb 7 | - phil-cmd 8 | - v-aangie 9 | ms.topic: article 10 | ms.custom: 11 | ms.date: 01/28/2025 12 | ms.author: ashbhati 13 | ms.reviewer: angieandrews 14 | --- 15 | 16 | # Entity extraction custom model requirements and limitations 17 | 18 | ## Data format 19 | 20 | Documents can't exceed 5,000 characters. 21 | 22 | ## Supported languages 23 | 24 | - English 25 | - Chinese-Simplified 26 | - French 27 | - German 28 | - Portuguese 29 | - Italian 30 | - Spanish 31 | 32 | ### Next step 33 | 34 | [Create an entity extraction custom model](entity-extraction-create.md) 35 | 36 | 37 | [!INCLUDE[footer-include](includes/footer-banner.md)] 38 | -------------------------------------------------------------------------------- /ai-builder-docs/entity-extraction-train.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Train and publish your custom entity extraction AI model - AI Builder 3 | description: Learn how to train and publish your custom entity extraction AI model in AI Builder. 4 | author: ashishb 5 | contributors: 6 | - ashishb 7 | - phil-cmd 8 | - v-aangie 9 | ms.topic: how-to 10 | ms.custom: 11 | ms.date: 01/28/2025 12 | ms.author: ashbhati 13 | ms.reviewer: angieandrews 14 | --- 15 | 16 | # Train and publish your entity extraction custom model 17 | 18 | After you create your entity extraction model, you can train and publish it to make it available. 19 | 20 | ## Train and validate your model 21 | 22 | 1. After you create your model, select **Next** to check your selected entities. If everything looks good, select **Train** to train your model. 23 | 24 | 1. On the **Training complete** screen, select **Go to Details page**. 25 | 26 | ## Quick-test your model 27 | 28 | You can use the **Details** page to test your model before you publish or use it: 29 | 30 | 1. On the **Details** page, enter the text you want to test. 31 | 32 | The quick test should only take a few seconds before displaying the results. 33 | 34 | ## Publish your model 35 | 36 | If you're happy with your model, you can select **Publish** to publish it. When publishing is completed, your model is promoted as published and is ready to be used. More information: [Publish your model in AI Builder](publish-model.md) 37 | 38 | After you've published your model, you can use it in a Power Apps canvas app or in Power Automate. 39 | 40 | ## Edit your model 41 | 42 | You can create a new version of your published model by selecting **Edit model** on the model details page. You can create new entity types or modify existing entity types. 43 | 44 | ## Related information 45 | 46 | [Feature availability by region](availability-region.md) 47 | 48 | [!INCLUDE[footer-include](includes/footer-banner.md)] 49 | -------------------------------------------------------------------------------- /ai-builder-docs/flow-key-phrase-extraction.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use the key phrase extraction prebuilt model in Power Automate - AI Builder | Microsoft Docs 3 | description: Learn how to set up and use the AI Builder key phrase extraction prebuilt model in Power Automate. 4 | author: alanabrito 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: alanab 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use the key phrase extraction prebuilt model in Power Automate 13 | 14 | 1. Sign in to [Power Automate](https://flow.microsoft.com/). 15 | 16 | 1. Select **My flows** in the left pane, and then select **New flow** > **Instant cloud flow**. 17 | 18 | 1. Name your flow, select **Manually trigger a flow** under **Choose how to trigger this flow**, and then select **Create**. 19 | 20 | 1. Expand **Manually trigger a flow**, and then select **+Add an input** > **Text** as the input type. 21 | 22 | 1. Replace **Input** with **My Text** (also known as the title). 23 | 24 | 1. Select **+ New step** > **AI Builder**, and then select **Extract the key phrases from text** in the list of actions. 25 | 26 | 1. In the **Language** input, select or enter your language. 27 | 28 | 1. In the **Text** input, select **My Text** from the **Dynamic content** list: 29 | 30 | > [!div class="mx-imgBorder"] 31 | > ![Specify my text.](media/flow-kpe.png "Specify my text") 32 | 33 | 1. In the successive actions, you can use any columns extracted by the AI Builder model. For example, you can create a Microsoft Dataverse row for each **Key phrase**. 34 | 35 | > [!div class="mx-imgBorder"] 36 | > ![Add key phrases screen.](media/flow-add-phrase-2.png "Add key phrases in Dataverse") 37 | 38 | ## Parameters 39 | 40 | ### Input 41 | 42 | |Name |Required |Type |Description |Values | 43 | |---------|---------|---------|---------|---------| 44 | |**Text** |Yes |string |Text to analyze |Text sentences | 45 | |**Language** |Yes |string | Language of the text to analyze | Item in a list of predefined languages or a language code (ex.: "en", "fr", "zh_chs", "ru") 46 | 47 | ### Output 48 | 49 | |Name |Type |Description | 50 | |---------|---------|---------| 51 | |**Key phrase** |string |String denoting a key talking points in the analyzed text. As there could be multiple key phrases, selecting this parameter will create an apply to each loop | 52 | 53 | Congratulations! You have created a flow that uses your key phrase extraction AI model. Select **Save** on the top right and then select **Test** to try out your flow. 54 | 55 | ## Related information 56 | 57 | [Key phrase extraction overview](prebuilt-key-phrase.md) 58 | -------------------------------------------------------------------------------- /ai-builder-docs/flow-language-detection.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use the language detection prebuilt model in Power Automate - AI Builder | Microsoft Docs 3 | description: Learn how to use the AI Builder language detection prebuilt model in your flows. 4 | author: JoefernandezMS 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: jofernan 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use the language detection prebuilt model in Power Automate 13 | 14 | 1. Sign in to [Power Automate](https://flow.microsoft.com/). 15 | 16 | 1. Select **My flows** in the left pane, and then select **New flow** > **Instant cloud flow**. 17 | 18 | 1. Name your flow, select **Manually trigger a flow** under **Choose how to trigger this flow**, and then select **Create**. 19 | 20 | 1. Expand **Manually trigger a flow**, and then select **+Add an input** > **Text** as the input type. 21 | 22 | 1. Replace **Input** with **My Text** (also known as the title). 23 | 24 | 1. Select **+ New step** > **AI Builder**, and then select **Detect the language being used in text** in the list of actions. 25 | 26 | 1. Select the **Text** input, and then select **My Text** from the **Dynamic content** list: 27 | 28 | > [!div class="mx-imgBorder"] 29 | > ![Trigger text flow.](media/trigger-text-flow-2.png "Manually trigger a flow screens") 30 | 31 | 1. In the successive actions, you can use any columns extracted by the AI Builder model. For example, you can add lines to an Excel file using **Language** and **Confidence score**: 32 | 33 | > [!div class="mx-imgBorder"] 34 | > ![Example.](media/text-flow-example-2.png "Example") 35 | 36 | Congratulations! You've created a flow that uses a language detection model. Select **Save** on the top right and then select **Test** to try out your flow. 37 | 38 | 39 | ## Parameters 40 | 41 | ### Input 42 | |Name |Required |Type |Description |Values | 43 | |---------|---------|---------|---------|---------| 44 | |**Text** |Yes |string |Text to analyze|Text sentences | 45 | 46 | 47 | ### Output 48 | |Name |Type |Description |Values | 49 | |---------|---------|---------|---------| 50 | |**results** |list |A list of languages detected in the input text |List of score and languages | 51 | |**Confidence score** |float |How confident the model is in its prediction|Value in the range of 0 to 1. Values close to 1 indicate greater confidence that the identified sentiment is accurate | 52 | |**Language** |string |Language inferred from the text| Language code (ex.: "en", "fr", "zh_chs", "ru") | 53 | 54 | ## Related information 55 | 56 | [Language detection overview](prebuilt-language-detection.md) 57 | 58 | 59 | 60 | [!INCLUDE[footer-include](includes/footer-banner.md)] 61 | -------------------------------------------------------------------------------- /ai-builder-docs/form-processing-model-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview of document processing model - AI Builder 3 | description: This article provides information about how to build and use document processing models in AI Builder. 4 | author: JoeFernandezMS 5 | ms.topic: overview 6 | ms.date: 05/31/2025 7 | ms.author: plarrue 8 | ms.reviewer: angieandrews 9 | --- 10 | 11 | # Overview of the document processing model 12 | 13 | Document processing lets you read and save information from standard documents such as invoices or tax documents. When you automate this process, you can save valuable time by reviewing, extracting, organizing, and saving the data automatically by using Power Automate and Power Apps. 14 | 15 | [Train](train-model.md) your model and define the information to be extracted from your forms. You only need five form documents to get started. Quickly get accurate results tailored to your specific content. With AI Builder, you don't need a lot of manual intervention or data science expertise. 16 | 17 | After you train and [publish](publish-model.md) your model, you can use it in a flow in [Power Automate](form-processing-model-in-flow.md) or in a canvas app in [Power Apps](form-processor-component-in-powerapps.md). 18 | 19 | ## Next step 20 | 21 | [Create a document processing model](create-form-processing-model.md) 22 | 23 | ## Related information 24 | 25 | - [Feature availability by region](availability-region.md) 26 | - [AI model types](model-types.md) 27 | - [Training: Process custom documents with AI Builder (module)](/training/modules/get-started-with-form-processing/) 28 | 29 | [!INCLUDE[footer-include](includes/footer-banner.md)] 30 | 31 | -------------------------------------------------------------------------------- /ai-builder-docs/form-processing-sample-data.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use sample data to do document processing - AI Builder | Microsoft Docs 3 | description: Provides the information you need to try out a document processing model with sample data AI Builder. 4 | author: JoeFernandezMS 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: Jofernan 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use sample data to do document processing 13 | 14 | To explore the possibilities of document processing, you can get started by building and training a document processing model that uses sample invoices. 15 | 16 | ## Get the sample data 17 | 18 | Download sample documents for AI Builder document processing: [English version](https://go.microsoft.com/fwlink/?linkid=2128080) or [Japanese version](https://go.microsoft.com/fwlink/?linkid=2186887) 19 | 20 | ## Guided learning experience 21 | 22 | The [Get started with Document processing in AI Builder](/training/modules/get-started-with-form-processing/2-create-first-model) Learn module walks you through each step of the model creation process using the sample data. 23 | 24 | ## Related information 25 | 26 | [Use a document processing model in Power Automate](form-processing-model-in-flow.md) 27 | [Use the form processor component in Power Apps](form-processor-component-in-powerapps.md) 28 | 29 | [!INCLUDE[footer-include](includes/footer-banner.md)] 30 | -------------------------------------------------------------------------------- /ai-builder-docs/form-processing-transition.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Transition to the new document processing model version - AI Builder | Microsoft Docs 3 | description: Preview document processing model versions aren't compatible with updated model versions, so you have to re-create existing models. 4 | author: JoeFernandezMS 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: Jofernan 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Transition to the newest document processing model version 13 | 14 | AI Builder is improving its document processing model with a new model version. Your document processing preview models created before March 5, 2020 are deprecated. For more information, go to [Document processing and object detection preview models in AI Builder are deprecated](/power-platform/important-changes-coming#form-processing-and-object-detection-preview-models-in-ai-builder-are-deprecated) 15 | 16 | Starting March 5, 2020, you have to re-create your existing document processing models if you want to continue to use them. Models created after this date will automatically use the new model version. It's a good idea to transition to the new model version as soon as possible. 17 | 18 | ## What do I need to do? 19 | 20 | **You must re-create document processing models created before March 5, 2020** 21 | 22 | 1. Identify any document processing models created before March 5, 2020, that you want to continue using. 23 | 1. For each model, [create a new document processing model](create-form-processing-model.md) with the same training documents you used in the original model. 24 | 1. After the new model is trained and published, make sure you update any apps or flows to use the new model. 25 | 1. After you're done with your deprecated document processing model, you can delete it. 26 | 27 | We understand you might have spent significant time building your document processing models. [Contact us](mailto:aihelpen@microsoft.com) if you need help with migrating larger complex models. 28 | 29 | ## Why this change? 30 | 31 | Document processing models are being upgraded for general availability. Your existing preview models won't be compatible with the new model version. 32 | 33 | Until March 5, 2020, document processing models stored documents as attachments in the Note table. With this update, these models now use the new File and Image data types in Microsoft Dataverse, which enables a better and more optimized usage of capacity. 34 | 35 | ## Related information 36 | 37 | [Use a document processing model in Power Automate](form-processing-model-in-flow.md) 38 | [Use the document processor component in Power Apps](form-processor-component-in-powerapps.md) 39 | 40 | 41 | [!INCLUDE[footer-include](includes/footer-banner.md)] 42 | -------------------------------------------------------------------------------- /ai-builder-docs/image-description-in-powerapps.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use the image description prebuilt model in Power Apps (preview) 3 | description: Learn how to use the image description prebuilt model in Power Apps (preview). 4 | author: phil-cmd 5 | ms.author: plarrue 6 | ms.reviewer: angieandrews 7 | contributors: 8 | - phil-cmd 9 | - v-aangie 10 | ms.topic: how-to 11 | ms.collection: 12 | - get-started 13 | - bap-ai-copilot 14 | ms.date: 01/28/2025 15 | ms.custom: 16 | - bap-template 17 | - ai-gen-docs-bap 18 | - ai-gen-desc 19 | - ai-seo-date:11/15/2023 20 | --- 21 | 22 | # Use the image description prebuilt model in Power Apps (preview) 23 | 24 | [!INCLUDE[cc_beta-prerelease-disclaimer](./includes/cc-beta-prerelease-disclaimer.md)] 25 | 26 | [!INCLUDE[cc_preview_features_definition](./includes/cc-preview-features-definition.md)] 27 | 28 | The image description prebuilt model analyzes an image and generates a user-friendly description based on its analysis. Use it when your app needs to describe an image or other visual element. 29 | 30 | ## Explore image description 31 | 32 | 1. Sign in to [Power Apps](https://make.powerapps.com). 33 | 34 | 1. In the left navigation pane, select **More** > **AI models** > **New AI model**. 35 | 36 | 1. Under **AI Models > Explore**, select **Image description**. 37 | 38 | 1. Select an image sample or select **Upload new** and select your own image file. 39 | 40 | 1. To add the prebuilt model to a sample app, select **Use prebuilt model** > **Use in an app**. 41 | 42 | :::image type="content" source="media/image-description-in-powerapps/use-in-app.png" alt-text="Screenshot of the Generate description of an image page, with the Use in an app button highlighted."::: 43 | 44 | 1. Select the **Play** icon in the upper-right corner. 45 | 46 | 1. Select **Tap or click to add a picture**, and then select an image file on your device. 47 | 48 | :::image type="content" source="media/image-description-in-powerapps/image-extracted-from-model.png" alt-text="Screenshot of the image description generated by the model in a sample app."::: 49 | 50 | ## Use the formula bar to add the model to an app 51 | 52 | Another way to integrate the AI Builder image description model in your app is to use the formula bar. Enter a formula similar to the following example, where *UploadedImage1* is the image container: 53 | 54 | `'Image description'.Predict(UploadedImage1.Image)` 55 | 56 | ## Related information 57 | 58 | [Use AI Builder models in Power Apps](powerfx-in-powerapps.md) 59 | -------------------------------------------------------------------------------- /ai-builder-docs/improve-text-classification-performance.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Improve the performance of the category classification model - AI Builder | Microsoft Docs 3 | description: Provides tips to help you improve the performance of the category classification model in AI Builder. 4 | author: norliu 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: norliu 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Improve the performance of your category classification model 13 | 14 | If your model performance isn't where you want it to be, there are a few things you can try. These tips can help you tweak your model to improve its predictive power. 15 | 16 | ## Add more correctly labeled training data 17 | 18 | The more correctly labeled training data you have, the better your model will perform. For example, let's say you have a Yes/No label. If most of your data only has a *Yes* in this column, your AI model probably won't learn much from this data. If your data isn't correctly labeled, the model is probably not going to learn very well. It's ideal to begin with a small set of correctly labeled examples - perhaps 100 or less. From there, you can continue to double the number of examples iteratively and retrain each time, noting the performance change. Generally speaking, more data is better, but there are diminishing returns for adding data the larger your dataset gets. 19 | 20 | ## More tips 21 | 22 | - Make sure your use of tags is balanced in your training data. For example: You have four tags for 100 text items. The two first tags (*tag1* and *tag2*) are used for 90 text items, but the other two (*tag3* and *tag4*) are only used on the remaining 10 text items. The lack of balance might cause your model to struggle to correctly predict *tag3* or *tag4*. 23 | - Make sure you train your model using data that's similar to the what you expect to use the model for. 24 | 25 | ### Next step 26 | 27 | [Publish your category classification model](publish-text-classification-model.md) 28 | 29 | ## Related information 30 | 31 | [Category classification prebuilt model](prebuilt-category-classification.md) 32 | 33 | [!INCLUDE[footer-include](includes/footer-banner.md)] 34 | -------------------------------------------------------------------------------- /ai-builder-docs/includes/cc-beta-prerelease-disclaimer.md: -------------------------------------------------------------------------------- 1 | [This topic is prerelease documentation and is subject to change.] -------------------------------------------------------------------------------- /ai-builder-docs/includes/cc-data-platform-banner.md: -------------------------------------------------------------------------------- 1 | > [!NOTE] 2 | > Effective November 2020: 3 | > - Common Data Service has been renamed to Microsoft Dataverse. [Learn more](https://aka.ms/PAuAppBlog) 4 | > - Some terminology in Microsoft Dataverse has been updated. For example, *entity* is now *table* and *field* is now *column*. [Learn more](/powerapps/maker/data-platform/data-platform-intro) 5 | > 6 | > This article will be updated soon to reflect the latest terminology. -------------------------------------------------------------------------------- /ai-builder-docs/includes/cc-preview-features-definition.md: -------------------------------------------------------------------------------- 1 | > [!IMPORTANT] 2 | > - This is a preview feature. 3 | > - Preview features aren’t meant for production use and may have restricted functionality. These features are available before an official release so that customers can get early access and provide feedback. -------------------------------------------------------------------------------- /ai-builder-docs/includes/footer-banner.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /ai-builder-docs/includes/responsible-ai-features.md: -------------------------------------------------------------------------------- 1 | ## AI-driven features in this app 2 | 3 | This app contains a growing list of AI-driven features. To learn about the capabilities and impact of specific features, select a feature name from the list. -------------------------------------------------------------------------------- /ai-builder-docs/includes/responsible-ai-intro.md: -------------------------------------------------------------------------------- 1 | An AI system includes not only the technology, but also the people who use it, the people affected by it, and the environment in which it's deployed. Microsoft's Responsible AI FAQs are intended to help you understand how AI technology works, the choices system owners and users can make that influence system performance and behavior, and the importance of thinking about the whole system, including the technology, the people, and the environment. You can use Responsible AI FAQs to better understand specific AI systems and features that Microsoft develops. 2 | 3 | Responsible AI FAQs are part of a broader effort to put Microsoft's AI principles into practice. To find out more, see [Microsoft AI principles](https://www.microsoft.com/ai/responsible-ai). -------------------------------------------------------------------------------- /ai-builder-docs/includes/transparency-note-features.md: -------------------------------------------------------------------------------- 1 | ## AI-driven features in this app 2 | 3 | This app contains a growing list of AI-driven features. To learn about the capabilities and impact of specific features, select a feature name from the list. -------------------------------------------------------------------------------- /ai-builder-docs/includes/transparency-note-intro.md: -------------------------------------------------------------------------------- 1 | An AI system includes not only the technology, but also the people who use it, the people affected by it, and the environment in which it's deployed. Creating a system that's fit for its intended purpose requires an understanding of how the technology works, its capabilities and limitations, and how to achieve the best performance. Microsoft's transparency notes are intended to help you understand how AI technology works, the choices system owners can make that influence system performance and behavior, and the importance of thinking about the whole system, including the technology, the people, and the environment. You can use transparency notes when developing or deploying your own system, or share them with the people who will use or be affected by your system. 2 | 3 | Transparency notes are part of a broader effort to put Microsoft's AI principles into practice. To find out more, see [Microsoft AI principles](https://www.microsoft.com/ai/responsible-ai). -------------------------------------------------------------------------------- /ai-builder-docs/learn-ai-builder.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: AI Builder labs - AI Builder 3 | description: Provides information about resources to help you learn more about AI Builder 4 | author: v-aangie 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # AI Builder labs 13 | 14 | Use AI Builder labs to gain experience with AI Builder and learn more about it. Links are added here as new resources become available. 15 | 16 | AI Builder [hands-on labs](https://go.microsoft.com/fwlink/?linkid=2103171) walk through these features: 17 | 18 | - Object detection 19 | - Prediction 20 | - Category classification 21 | - Document processing 22 | - Business card reader 23 | 24 | The zip file that contains the hands-on labs includes the following folders and zip files: 25 | 26 | - Lab data 27 | - Lab images 28 | - Lab scripts 29 | - AIBuilderLabSolution_1_0_0_0.zip 30 | - ProcessFeedback_Flow.zip 31 | 32 | ## Related information 33 | 34 | [Work with sample data](samples.md) 35 | 36 | 37 | [!INCLUDE[footer-include](includes/footer-banner.md)] 38 | -------------------------------------------------------------------------------- /ai-builder-docs/media/AI Builder's prebuilt model combined with Power FX Cheat Sheet.png: -------------------------------------------------------------------------------- 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author: billba 5 | ms.topic: overview 6 | ms.date: 01/27/2025 7 | ms.author: billba 8 | ms.reviewer: angieandrews 9 | --- 10 | 11 | # Overview of the object detection model 12 | 13 | Object detection can help expedite or automate business processes. In retail, it can help streamline inventory management, allowing retail leaders to focus on onsite customer relationships. In manufacturing, technicians can use it to speed the repair process by quickly accessing the manual for a piece of machinery for which the UPC/serial number isn't obvious. 14 | 15 | Organizations of any size can use AI Builder object detection to add these capabilities for their own custom objects to their apps. 16 | 17 | ### Next step 18 | 19 | [Collect images](collect-images.md) 20 | 21 | ## Related information 22 | 23 | - [Feature availability by region](availability-region.md) 24 | - [Use an object detection model in Power Automate](object-detection-model-in-flow.md) 25 | - [Training: Detect objects with AI Builder (module)](/training/modules/get-started-with-ai-builder-object-detection/) 26 | 27 | [!INCLUDE[footer-include](includes/footer-banner.md)] -------------------------------------------------------------------------------- /ai-builder-docs/object-detection-sample-data.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use sample data to do object detection - AI Builder 3 | description: Provides information to help you get started by building and training an object detection model using sample pictures and labels in AI Builder. 4 | author: billba 5 | ms.topic: how-to 6 | ms.collection: 7 | - get-started 8 | - bap-ai-copilot 9 | ms.date: 01/28/2025 10 | ms.author: billba 11 | ms.reviewer: angieandrews 12 | --- 13 | 14 | # Use sample data to do object detection 15 | 16 | To explore the possibilities of object detection in AI Builder, you can get started by building and training an object detection model using sample pictures and labels. 17 | 18 | > [!NOTE] 19 | > This sample data is added to your environment automatically if you enable the [Deploy sample apps and data](build-model.md#deploy-sample-apps-and-data) setting when you create your database. 20 | 21 | ## Get the sample data 22 | 23 | Download [AIBuilder_Lab.zip](https://go.microsoft.com/fwlink/?linkid=2103171) file, which contains object detection sample images and labels. 24 | 25 | > [!NOTE] 26 | > The AIBuilder_Lab.zip file also contains sample files for working with other AI Builder model types, in addition to some hands-on labs that you can use to learn more about AI Builder. For more information about the contents of the zip file, see the [readme.txt](https://go.microsoft.com/fwlink/?linkid=2108226) file that's included in the zip file. 27 | 28 | ## Add labels in Microsoft Dataverse 29 | 30 | 1. Go to [Power Apps](https://make.powerapps.com/), and then select **Data** > **Tables** in the left pane. 31 | 2. Prepare a table with one column in a text format, either by using an existing table or creating a new one. 32 | If you need to create a new table, see [Create a table](/powerapps/maker/common-data-service/data-platform-create-entity). 33 | 3. On the top menu, select **Get data**. 34 | 4. In the list of data sources, select **Excel**. 35 | 5. Select **Browse** to upload your Excel workbook, and then select the sheet or sheets that your data is in. 36 | You might have to allow third-party cookies for your browser to complete this step. 37 | 6. On the **Edit Queries** screen, select **Transform table** > **Use first row as headers**. 38 | 7. Select **Next** > **Load to new entity**. 39 | 8. Use the drop-down menu to select your target table, and then map your columns to the destination fields. 40 | 9. Select **Next** to finish. 41 | 42 | ## Related information 43 | 44 | [Use the object detection component in Power Apps](object-detector-component-in-powerapps.md) 45 | 46 | 47 | [!INCLUDE[footer-include](includes/footer-banner.md)] 48 | -------------------------------------------------------------------------------- /ai-builder-docs/object-detection-transition.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Transition to the newest object detection model version - AI Builder | Microsoft Docs 3 | description: Preview object detection model versions won't be compatible with updated model versions, so you have to re-create existing models. 4 | author: JoeFernandezMS 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: jofernan 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Transition to the newest object detection model version 13 | 14 | AI Builder is including improvements to object detection in a newest model version. Your object detection preview models created before March 5, 2020 are deprecated. More information: [Document processing and object detection preview models in AI Builder are deprecated](/power-platform/important-changes-coming#form-processing-and-object-detection-preview-models-in-ai-builder-are-deprecated) 15 | 16 | Starting March 5, 2020, you have to re-create your existing object detection models if you want to continue to use them. Models created after this date will automatically use the new model version. It's a good idea to transition to the new model version as soon as possible. 17 | 18 | ## What do I need to do? 19 | 20 | **You must re-create object detection models created before March 5, 2020** 21 | 22 | 1. Identify any object detection models created before March 5, 2020 that you want to continue using. 23 | 1. For each model, [create a new object detection model](get-started-with-object-detection.md) with the same training images you used in the original model. 24 | 1. After the new model is trained and published, make sure you update any apps or flows to use the new model. 25 | 1. After you're done with your deprecated object detection model, you can delete it. 26 | 27 | We understand you might have spent significant time building your object detection models. [Contact us](mailto:aihelpen@microsoft.com) if you need help with migrating larger complex models. 28 | 29 | ## Why this change? 30 | 31 | Object detection models are being upgraded for general availability. Your existing preview models won't be compatible with the new model version. 32 | 33 | Until March 5, 2020, object detection models stored images as attachments in the Note entity. With this update, these models now use the new File and Image data types in Microsoft Dataverse, which enables a better and more optimized usage of capacity. 34 | 35 | ## Related information 36 | 37 | [Manage your model in AI Builder](manage-model.md) 38 | 39 | 40 | -------------------------------------------------------------------------------- /ai-builder-docs/prebuilt-category-classification.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Category classification prebuilt model - AI Builder 3 | description: Describes the prebuilt category classification AI Builder model. 4 | author: v-aangie 5 | contributors: 6 | - antode 7 | - v-aangie 8 | ms.topic: article 9 | ms.custom: 10 | ms.date: 01/10/2024 11 | ms.author: antode 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # Category classification prebuilt model 16 | 17 | The prebuilt category classification model is a ready to use AI model that's configured to classify your text into categories that are useful for a specific business scenario. The first prebuilt category classification AI model is built around customer feedback uses. 18 | 19 | ## Use in Power Apps 20 | 21 | ### Explore category classification 22 | 23 | You can see the category classification prebuilt model in action without the need to build a flow. 24 | 25 | 1. Sign in to [Power Apps](https://make.powerapps.com) or [Power Automate](https://make.powerautomate.com). 26 | 1. On the left pane, select **... More** > **AI hub**. 27 | 1. Under Discover an AI capability, select **AI models**. 28 | 29 | *(Optional)* To keep AI models permanently on the menu for easy access, select the pin icon. 30 | 31 | 1. Select **Category classification - Classify customer feedback into predefined categories**. 32 | 1. Select predefined text samples to analyze, select **Analyze text** to see how the model analyzes your text. 33 | 34 | ### Use the formula bar 35 | 36 | You can integrate your AI Builder category classification model in Power Apps Studio by using the formula bar. For more information, see [Use Power Fx in AI Builder models in Power Apps (preview)](powerfx-in-powerapps.md). 37 | 38 | ## Use in Power Automate 39 | 40 | For information about how to use this prebuilt model in Power Automate, see [Use the category classification prebuilt model in Power Automate](prebuilt-category-classification-pwr-automate.md). 41 | 42 | ## Supported data format and languages 43 | 44 | - Documents can't exceed 5,000 characters. 45 | - Supported languages: 46 | - English 47 | - Chinese-Simplified 48 | - French 49 | - German 50 | - Portuguese 51 | - Italian 52 | - Spanish 53 | 54 | ## Supported classification categories 55 | 56 | ### Customer feedback prebuilt model 57 | 58 | - Issues 59 | - Compliment 60 | - Customer Service 61 | - Documentation 62 | - Price & Billing 63 | - Staff 64 | 65 | ### Next step 66 | 67 | [Use the category classification prebuilt model in Power Automate](prebuilt-category-classification-pwr-automate.md) 68 | 69 | ## Related information 70 | 71 | [Overview of the category classification custom model](text-classification-overview.md) 72 | 73 | 74 | [!INCLUDE[footer-include](includes/footer-banner.md)] 75 | -------------------------------------------------------------------------------- /ai-builder-docs/prebuilt-image-description.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Image description prebuilt AI model (preview) 3 | description: Learn how to use the AI Builder prebuilt image analyzer model to analyze images and generate user-friendly descriptions in your apps and flows. 4 | author: phil-cmd 5 | ms.author: plarrue 6 | ms.reviewer: angieandrews 7 | contributors: 8 | - phil-cmd 9 | - v-aangie 10 | ms.topic: overview 11 | ms.collection: 12 | - get-started 13 | - bap-ai-copilot 14 | ms.date: 01/27/2025 15 | ms.custom: 16 | - bap-template 17 | - ai-gen-docs-bap 18 | - ai-gen-desc 19 | - ai-seo-date:11/15/2023 20 | --- 21 | 22 | # Image description prebuilt model (preview) 23 | 24 | [!INCLUDE [cc_beta-prerelease-disclaimer](./includes/cc-beta-prerelease-disclaimer.md)] 25 | 26 | [!INCLUDE [cc_preview_features_definition](./includes/cc-preview-features-definition.md)] 27 | 28 | The image description prebuilt model analyzes an image and generates a user-friendly description based on its analysis. It's useful in a variety of scenarios: 29 | 30 | - **Auto-captioning**: Use machine learning to generate descriptive text for images. 31 | 32 | - **Security and surveillance**: Monitor or identify threats easily with descriptions of presence, people, or activity in a video frame. 33 | 34 | - **Search engine optimization**: Describe the images in a web page to make the page more discoverable in searches. 35 | 36 | - **Chatbots**: Describe an image and reason for it, which gives the illusion of a multi-modal capability. 37 | 38 | - **Retail environment**: Describe a product to help with inventory management and restocking. 39 | 40 | ## Use in Power Apps 41 | 42 | [Use the image description prebuilt model in Power Apps (preview)](image-description-in-powerapps.md). 43 | 44 | ## Use in Power Automate 45 | 46 | [Use the image description prebuilt model in Power Automate (preview)](flow-image-description.md). 47 | 48 | ## Licensing and role requirements 49 | 50 | This feature is in preview. Using it doesn't deduct any AI Builder credits. 51 | 52 | You need to have the **Basic User** role to use the image description prebuilt model in your apps and flows. 53 | 54 | ## Supported files 55 | 56 | - Document formats accepted: .JPG, .JPEG, .PNG, and .BMP 57 | - Maximum document size: 4 MB 58 | - The dimensions of the image must be greater than 50 x 50 pixels 59 | 60 | ## Model output 61 | 62 | If a valid image is detected, the model tries to locate and extract the following properties: 63 | 64 | - Description: A description of the image in English (en-us) 65 | - Tags: A list of tags in the image in English (en-us) 66 | - Confidence score: A percentage that represents the estimated accuracy of the description 67 | -------------------------------------------------------------------------------- /ai-builder-docs/prebuilt-language-detection.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Language detection prebuilt AI model - AI Builder | Microsoft Docs 3 | description: Describes the prebuilt language detection AI Builder model. 4 | author: alanabrito 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: alanab 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Language detection prebuilt model 13 | 14 | The language detection prebuilt model identifies the predominant language of a text document. The model analyzes the text and returns the detected language and a numeric score from 0 through 1. Scores close to 1 indicate higher confidence in the result. The detected language is returned as the "script" of the language. For instance, for the phrase "I have a dog", it will return "en" instead of "en-US". The response for languages that can't be detected is **unknown**. 15 | 16 | ## Use in Power Apps 17 | 18 | ### Use the formula bar 19 | 20 | You can integrate your AI Builder language detection model by using the formula bar. For more information, see [Use Power Fx in AI Builder models in Power Apps (preview)](powerfx-in-powerapps.md). 21 | 22 | ## Use in Power Automate 23 | 24 | If you want to use this prebuilt model in Power Automate, you can find more information in [Use the language detection prebuilt model in Power Automate](flow-language-detection.md). 25 | 26 | ## Supported language and data format 27 | 28 | - Documents can't exceed 5,120 characters. 29 | - For information about language support, see [Text Analytics API v3 language support](/azure/cognitive-services/text-analytics/language-support?tabs=language-detection). 30 | 31 | ## Model output 32 | 33 | If text is detected, the language detection model outputs the following information: 34 | 35 | - **Results**: A list of languages detected in the input text. 36 | - **Language**: Script version of the language code (for example, "en", "fr", "zh_chs", "ru"). 37 | - **Confidence score**: Numeric value from 0 through 1, where values close to 1 indicate higher confidence. 38 | 39 | ## Limits 40 | 41 | The following applies to calls made per environment across the following prebuilt models: language detection, sentiment analysis, and key phrase extraction. 42 | 43 | |**Action**|**Limit**|**Renewal period**| 44 | |:-----|:-----|-----:| 45 | |Calls (per environment)|400|60 seconds| 46 | 47 | ## Related information 48 | 49 | [Training: Identify the language of text with AI Builder (module)](/training/modules/get-started-with-ai-builder-language-detection/) 50 | 51 | [!INCLUDE[footer-include](includes/footer-banner.md)] 52 | -------------------------------------------------------------------------------- /ai-builder-docs/prebuilt-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview of prebuilt AI models - AI Builder 3 | description: Learn about the prebuilt AI models that are available in AI Builder. 4 | author: phil-cmd 5 | ms.topic: overview 6 | ms.date: 01/09/2025 7 | ms.author: plarrue 8 | ms.reviewer: angieandrews 9 | --- 10 | 11 | # Overview of prebuilt AI models 12 | 13 | AI Builder prebuilt models help you add intelligence to apps and flows without having to gather data and then build, train, and publish your own models. For example, in Power Apps, you can add a component based on a prebuilt model that recognizes contact information from business cards. You can use a prebuilt model in Power Automate to analyze whether customer feedback was positive or negative. 14 | 15 | Prebuilt models are available in Power Automate and Power Apps. The following prebuilt models are currently available in AI Builder. 16 | 17 | - [Invoice processing](prebuilt-invoice-processing.md) 18 | - [Text recognition](prebuilt-text-recognition.md) 19 | - [Sentiment analysis](prebuilt-sentiment-analysis.md) 20 | - [Receipt processing](prebuilt-receipt-processing.md) 21 | - [Entity extraction](prebuilt-entity-extraction.md) 22 | - [ID reader](prebuilt-id-reader.md) 23 | - [Key phrase extraction](prebuilt-key-phrase.md) 24 | - [Business card reader](prebuilt-business-card.md) 25 | - [Category classification ](prebuilt-category-classification.md) 26 | - [Text generation (preview) (deprecated)](prebuilt-azure-openai.md) 27 | - [Language detection](prebuilt-language-detection.md) 28 | - [Text translation](prebuilt-text-translation.md) 29 | - [Image description (preview)](prebuilt-image-description.md) 30 | 31 | Learn more in [Use AI Builder models in Power Apps](/ai-builder/powerfx-in-powerapps). 32 | 33 | ## Download AI Builder's prebuilt model combined with Power Fx cheat sheet 34 | 35 | Download the AI Builder prebuilt model combined with Power Fx cheat sheet for quick reference. This guide is perfect for those beginning to explore AI Builder’s prebuilt models in Power Apps, offering insights into using Power Fx formulas effectively. It simplifies key concepts to enhance decision-making and ease of use. 36 | 37 | Download the guide here: [AI Builder prebuilt model combined with Power Fx cheat sheet](https://go.microsoft.com/fwlink/?linkid=2300739) 38 | 39 | ## Related information 40 | 41 | - [AI Builder in Power Automate overview](use-in-flow-overview.md) 42 | - [AI Builder in Power Apps overview](use-in-powerapps-overview.md) 43 | - [Feature availability by region](availability-region.md) 44 | 45 | [!INCLUDE[footer-include](includes/footer-banner.md)] 46 | -------------------------------------------------------------------------------- /ai-builder-docs/prebuilt-text-translation.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Text translation prebuilt AI model - AI Builder | Microsoft Docs 3 | description: Describes the prebuilt text translation AI model in AI Builder. 4 | author: alanabrito 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: alanab 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Text translation prebuilt model 13 | 14 | The text translation prebuilt model translates your text data in real time across more than 60 languages. This prebuilt model could help remove language barriers within your company. The text translation model can also detect the language of the text data you want to translate. 15 | 16 | ## Use in Power Automate 17 | 18 | If you want to use this prebuilt model in Power Automate, you can find more information here: [Use text translation model in Power Automate](flow-text-translation.md). 19 | 20 | ## Supported language and data format 21 | 22 | - Test can't exceed 10,000 characters. 23 | - For information on language support, see [Language and region support for the text translation API](/azure/cognitive-services/translator/language-support#translation). 24 | 25 | ## Model output 26 | 27 | If text is detected and the target language defined, the text translation model will output the following information: 28 | 29 | - **Text**: Strings containing the translated text. 30 | - **Detected language**: Script version of the language code (ex.: "en", "fr", "zh_chs", "ru") detected in the source text. The model will not detect the source language if it was specified by the user. 31 | 32 | 33 | [!INCLUDE[footer-include](includes/footer-banner.md)] 34 | -------------------------------------------------------------------------------- /ai-builder-docs/prediction-model-driven-app.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use the prediction model in Power Apps - AI Builder | Microsoft Docs 3 | description: Learn how to use the prediction model in a model-driven app. 4 | author: JoeFernandezMS 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: jofernan 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use the prediction model in Power Apps 13 | 14 | This article takes you through the process of creating a model-driven app that can sort your rows by the probability value in the AI model output. 15 | 16 | > [!NOTE] 17 | > For more information about model-driven apps, see [What are model-driven apps in Power Apps?](/powerapps/maker/model-driven-apps/model-driven-app-overview) 18 | 19 | 1. Sign in to [Power Apps](https://make.powerapps.com/). 20 | 21 | 1. Select **Apps** from the pane on the left. 22 | 23 | 1. Select **New app** > **Model-driven** from the menu at the top. 24 | 25 | 1. On the **Create a New App** screen, complete the fields, and then select **Done**. 26 | 27 | 1. On the **App Designer** screen, do the following: 28 | 1. Create a view of your table that contains the predicted columns from the prediction model output. 29 | 1. Add the view to the site map. 30 | 31 | 1. On the **Components** tab, select **Entities**, select your table, and then select **Back**. 32 | 33 | 1. Select **Save** at the top of the screen so that you don't lose your progress when you create a view. 34 | 35 | 1. Under **Entity view**, select **Views**, and then on the **Components** tab, select **Create New**. 36 | 37 | 1. On the **Components** tab, select **Column Attributes – Primary Entity**, and then select the columns generated by prediction output. 38 | 39 | 1. Select **Save And Close**, give your view a name, and then select the view you created. 40 | 41 | 1. Select **Save** again. 42 | 43 | 1. Select the pencil icon next to **Site Map** and rename **New Group** appropriately. 44 | 45 | 1. Select **New Subarea** and select **Entity** as the **Type**, and then select your table from the **Entity** drop-down menu. 46 | 47 | 1. Select **Save And Close**, and then select **Publish**. 48 | 49 | 1. Select **Play**. Your output should look something like the following image. 50 | 51 | > [!div class="mx-imgBorder"] 52 | > ![Model-driven app complete screen.](media/model-driven-app-scr.png "Model-driven app complete screen") 53 | 54 | Congratulations, you've created your first model-driven app that uses an AI Builder prediction model. 55 | 56 | 57 | [!INCLUDE[footer-include](includes/footer-banner.md)] 58 | -------------------------------------------------------------------------------- /ai-builder-docs/prediction-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview of the prediction model - AI Builder 3 | description: Describes the prediction model in AI Builder, and gives some examples of how you might use it. 4 | author: phil-cmd 5 | ms.topic: overview 6 | ms.date: 11/20/2024 7 | ms.author: plarrue 8 | ms.reviewer: angieandrews 9 | --- 10 | 11 | # Overview of the prediction model 12 | 13 | AI Builder prediction models analyze patterns in historical data that you provide. Prediction models learn to associate those patterns with outcomes. Then, we use the power of AI to detect learned patterns in new data, and use them to predict future outcomes. 14 | 15 | Use the prediction model to explore business questions that can be answered as one the following ways: 16 | 17 | - From two available options (binary) 18 | - From multiple possible outcomes 19 | - Where the answer is a number 20 | 21 | ## Binary prediction 22 | 23 | Binary prediction is when the question asked has two possible answers. For example: yes/no, true/false, on-time/late, go/no-go, and so on. Examples of questions that use binary prediction include: 24 | 25 | - Is an applicant eligible for membership? 26 | - Is this transaction likely to be fraudulent? 27 | - Is a customer a good candidate for a marketing campaign? 28 | - is an account likely to pay their invoices on time? 29 | 30 | ## Multiple outcome prediction 31 | 32 | Multiple outcome prediction is when the question can be answered from a list of more than two possible outcomes. Examples of multiple outcome prediction include: 33 | 34 | - Will a shipment arrive early, on-time, late, or very late? 35 | - Which product would a customer be interested in? 36 | 37 | ## Numerical prediction 38 | 39 | Numerical prediction is when the question is answered with a number. Examples of numerical prediction include: 40 | 41 | - How many days for a shipment to arrive? 42 | - How many calls should an agent handle in a day? 43 | - How many items do we need to keep in inventory? 44 | - How many leads should a sales team convert in a month? 45 | 46 | ## Related information 47 | 48 | [Feature availability by region](availability-region.md) 49 | [Prediction model prerequisites](prediction-prereq.md) 50 | 51 | 52 | [!INCLUDE[footer-include](includes/footer-banner.md)] 53 | -------------------------------------------------------------------------------- /ai-builder-docs/prediction-prereq.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Prediction model prerequisites - AI Builder 3 | description: Describes what you should know and what data you need before you can build a prediction model in AI Builder. 4 | author: v-aangie 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: norliu 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Prediction model prerequisites 13 | 14 | For information about AI Builder requirements that aren't specific to this AI model, go to [AI model prerequisites](build-model.md#prerequisites). 15 | 16 | ## What skills do I need? 17 | 18 | - The person creating the prediction model should know enough about the business in question to understand the meaning of a dataset. 19 | 20 | - Because you don't need coding skills to create an AI model in AI Builder, you don't need to be a developer or data scientist to use the AI Builder prediction model. If you aren't familiar with a certain concept, select the **View documentation** or **Help** links in AI Builder. 21 | 22 | ## What data do I need? 23 | 24 | - Your data must be in [Microsoft Dataverse](/powerapps/maker/common-data-service/data-platform-intro). 25 | 26 | - Make sure your administrator has assigned you a security role with Read privilege over your data. 27 | 28 | - You need at least 10 rows of historical outcome for each class of the **Label** data column to train a prediction model. 29 | 30 | - The minimum for training is 50 rows, but for best results you should have at least 1,000 rows. 31 | 32 | ## Work with sample data 33 | 34 | To help you get started quickly with prediction, AI Builder provides sample data that you can use to get started. For more information, go to [Use sample data to do prediction](prediction-sample-data.md). 35 | 36 | ### Next step 37 | 38 | [Data preparation](prediction-data-prep.md) 39 | 40 | ## Related information 41 | 42 | [AI model prerequisites](build-model.md#prerequisites) 43 | 44 | -------------------------------------------------------------------------------- /ai-builder-docs/prediction-pwr-automate.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use your prediction model in Power Automate - AI Builder | Microsoft Docs 3 | description: Learn how to create a Power Automate flow that uses the real-time prediction feature. 4 | author: billba 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: billba 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use a prediction model in Power Automate 13 | 14 | 15 | 1. Sign in to [Power Automate](https://flow.microsoft.com/). 16 | 17 | 1. Select **My flows** in the left pane. 18 | 19 | 1. Select **New flow** from the menu at the top, and then select a flow in the **Build your own from blank** section. (The example uses **Automated cloud flow**.) 20 | 21 | 1. Name your flow, and then select **Skip**. Instead of using this screen, you'll select you flow's trigger in the next step by filtering a list. 22 | 23 | 1. Find your trigger by typing it in the search bar and then selecting it in the **Triggers** list. (The example uses the **When a row is added, modified, or deleted** trigger.) 24 | 25 | 1. Configure the trigger. 26 | 27 | 1. If you want to add any steps to prepare your data, select **Next step**. 28 | 29 | > [!div class="mx-imgBorder"] 30 | > ![Configure the trigger.](media/predict-configure-trigger.png "Configure the trigger") 31 | 32 | 1. Select **Next step**, enter **predict** in the search bar, and select **Predict** in the **Actions** list. 33 | 34 | 1. Select your model in the input, and then complete the fields using your data or data from previous steps in the flow. 35 | 36 | 1. Update the row by using prediction output. 37 | 38 | Congratulations! You've created a flow that uses the real-time prediction feature in AI Builder. Select **Save** on the top right, and then select **Test** to try out your flow. 39 | 40 | ## Related information 41 | 42 | [Use your prediction model](prediction-use.md) 43 | [Train your model in AI Builder](train-model.md) 44 | [Publish your model in AI Builder](publish-model.md) 45 | 46 | 47 | [!INCLUDE[footer-include](includes/footer-banner.md)] 48 | -------------------------------------------------------------------------------- /ai-builder-docs/prediction-sample-data.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use sample data to do prediction - AI Builder | Microsoft Docs 3 | description: Provides steps to create a prediction model in AI Builder using sample data provided by Microsoft. 4 | author: aminabrandt 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: ambran 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use sample data to do prediction 13 | 14 | To explore the possibilities of prediction in AI Builder, you can get started by building and training a prediction model that uses sample data provided by Microsoft. 15 | 16 | > [!NOTE] 17 | > This sample data is added to your Microsoft Power Platform environment automatically if you enable the [Deploy sample apps and data](build-model.md#deploy-sample-apps-and-data) setting when you create your database. 18 | 19 | ## Get the sample data 20 | 21 | You can [configure your new environment](build-model.md) to deploy sample data automatically when you create it. Or, you can download the AI Builder samples provided by Microsoft from . Follow the instructions in the [Data preparation](prediction-data-prep.md) topic to import the sample data into your Power Platform environment, and then follow the instructions in [Create a prediction model](prediction-create-model.md) to create an AI model that uses this sample data. 22 | 23 | [!INCLUDE[footer-include](includes/footer-banner.md)] 24 | -------------------------------------------------------------------------------- /ai-builder-docs/prediction-train-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Train and publish your prediction model - AI Builder | Microsoft Docs 3 | description: Walks you through the steps needed to train your prediction model, and leads you to the next steps. 4 | author: antrodfr 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: antrod 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Train and publish your prediction model 13 | 14 | Before you can use your prediction model, you have to train it to perform the way you want. After you train your model, publish it to make it available. 15 | 16 | ## Train 17 | 18 | After you've selected your data columns, select **Next** to view a summary of training information, and then select **Train** to train your model. 19 | 20 | > [!NOTE] 21 | > Training takes time, so you can stay on the page and wait, or you can close the page and come back later. 22 | 23 | ## Publish 24 | 25 | After the model is trained, you can [evaluate](manage-model.md#evaluate-your-model) its performance. Then [publish](publish-model.md) your model to start running predictions. After that, predictions run daily. 26 | 27 | ## Related information 28 | 29 | [Train your model in AI Builder](train-model.md) 30 | [Publish your model in AI Builder](publish-model.md) 31 | 32 | [!INCLUDE[footer-include](includes/footer-banner.md)] 33 | -------------------------------------------------------------------------------- /ai-builder-docs/previewability-scenarios.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Scenarios in preview - AI Builder 3 | description: Explain why some scenarios are in preview and what it means. 4 | author: Antoine2F 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: antode 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Preview features 13 | 14 | AI Builder is released and is generally available. But, some of its features are still in preview status. These features display a **preview** tag near their names: 15 | 16 | - On the AI Builder **Explore** page. 17 | - In the Power Apps Studio > **Insert** > **AI Builder** menu. 18 | 19 | ## Block preview scenarios 20 | 21 | The environment administrator can decide to hide accesses to preview features. In the Microsoft Power Platform admin center, under **Settings** > **Features**, a toggle switch lets the admin specify whether preview features are displayed. 22 | 23 | ## FAQ 24 | 25 | ### What happens if a model linked to a scenario in preview mode is created and published, then the admin decides to hide all access to scenarios in preview? 26 | 27 | In that case, this model is blocked; it can't be edited or retrained, and it can't be used to compute new predictions. It displays in the list of models, but is disabled. The only action that's allowed is delete. 28 | 29 | [!INCLUDE[footer-include](includes/footer-banner.md)] 30 | -------------------------------------------------------------------------------- /ai-builder-docs/publish-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Publish a model in AI Builder - AI Builder | Microsoft Docs 3 | description: Provides step-by-step instructions for publishing your model in AI Builder. 4 | author: v-aangie 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Publish your model in AI Builder 13 | 14 | After you successfully train your model, you have to publish it to make it available. All users in your current environment will be able to use your published model when you publish it. 15 | 16 | ## Publish your model 17 | 18 | On the details page, under **Last trained version**, select **Publish**. 19 | 20 | > [!div class="mx-imgBorder"] 21 | > ![Publish model screen.](media/publish-model.png "Publish model screen") 22 | 23 | After you publish your last trained version, it appears as the published version. For certain AI model types, you might need to take additional steps to use your model in Power Apps or Microsoft Dataverse. 24 | 25 | > [!NOTE] 26 | > 27 | > - Any previous published version is overwritten when you publish a new version. 28 | > - If you have a published version and a last trained version, you'll lose the published version when you unpublish because the last trained version is more recent. 29 | 30 | ## When should I publish my model? 31 | 32 | Publish your model when you want to make it available to users in your Power Apps environment. If you aren't satisfied with your model, you can create a new version to try to yield better results. For information about how to create a new version, see [Manage your model in AI Builder](manage-model.md). 33 | 34 | If you're satisfied with your model, you can publish it to make it available. Because you can only have up to two trained versions available at a time, you might publish a version because you don't want it to be overwritten by a new version. 35 | 36 | ### Next step 37 | 38 | [Use your AI model](use-model.md) 39 | 40 | ## Related information 41 | 42 | [AI Builder in Power Automate overview](use-in-flow-overview.md) 43 | [AI Builder in Power Apps overview](use-in-powerapps-overview.md) 44 | 45 | 46 | [!INCLUDE[footer-include](includes/footer-banner.md)] 47 | -------------------------------------------------------------------------------- /ai-builder-docs/publish-text-classification-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Publish your category classification model - AI Builder 3 | description: Provides the information you need to know to publish your category classification model in AI Builder. 4 | author: v-aangie 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Publish your category classification model 13 | 14 | When you're satisfied with your model, you can publish it. After it's published, your model is ready to run on your Microsoft Dataverse data or be used through Power Automate. It can take up to two hours for the results to be available. 15 | 16 | In the **Model settings** pane on the right side of the screen, you can turn on Dataverse and get important information about where the suggested tags will be stored. 17 | 18 | > [!IMPORTANT] 19 | > 20 | > - Currently, you can only schedule Dataverse runs by using the input table and column that you used for training. AI Builder creates a destination table where the model will store the suggested tags and their confidence scores. This destination table will have an N:1 (many-to-one) relationship with your source/input table. 21 | > - AI Builder uses Power Automate to schedule and run tagging on your data. When you publish your model to run on your Dataverse data, this will use Power Automate runs from your subscription. 22 | 23 | More information: [Publish your model in AI Builder](publish-model.md) 24 | 25 | ## Where will suggested tags be stored? 26 | 27 | The following table will be created when you publish a model: **TC_{*Model_Name*}** 28 | 29 | Tags will be stored in a column called **new_Tags** under this table. 30 | 31 | > [!NOTE] 32 | > Due to the character limitation of the column name, if the provided syntax creates text that is over the character limit, AI Builder cuts off the end of the text. This means that the model name might be incomplete or missing. You should choose shorter names so everything is visible. 33 | 34 | ### Next step 35 | 36 | [View predictions](text-classification-view-predictions.md) 37 | 38 | 39 | [!INCLUDE[footer-include](includes/footer-banner.md)] 40 | -------------------------------------------------------------------------------- /ai-builder-docs/responsible-ai-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Responsible AI FAQs for AI Builder 3 | description: Responsible AI FAQs provide information about the AI technology used in AI Builder, along with key considerations and details about how the AI is used, how it was tested and evaluated, and any specific limitations. 4 | ms.date: 05/20/2025 5 | ms.custom: 6 | - responsible-ai-faqs 7 | ms.topic: faq 8 | author: aashishb 9 | ms.author: antrod 10 | ms.reviewer: angieandrews 11 | --- 12 | 13 | # Responsible AI FAQs for AI Builder 14 | 15 | [!INCLUDE[responsible-ai-intro](./includes/responsible-ai-intro.md)] 16 | 17 | [!INCLUDE[responsible-ai-features](./includes/responsible-ai-features.md)] 18 | 19 | - [Prompts overview](prompts-overview.md) 20 | - [Batch testing for prompts (preview)](batch-testing-prompts.md) 21 | 22 | -------------------------------------------------------------------------------- /ai-builder-docs/samples.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Start using AI Builder with sample data - AI Builder 3 | description: Shows where you can obtain sample data to start using AI Builder. 4 | author: phil-cmd 5 | contributors: 6 | - phil-cmd 7 | - v-aangie 8 | ms.topic: article 9 | ms.custom: 10 | ms.date: 02/05/2025 11 | ms.author: angieandrews 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # Start using AI Builder with sample data 16 | 17 | Don't have any data of your own to create a model? No problem! We've got you covered. 18 | 19 | Sample data is available for several AI Builder model types, together with instructions for working with the sample data. To get started, select one of the following options: 20 | 21 | - [Use sample data to do prediction](prediction-sample-data.md) 22 | - [Use sample data to do category classification](text-classification-sample-data.md) 23 | - [Use sample data to do entity extraction](entity-extraction-sample-data.md) 24 | - [Use sample data to do object detection](object-detection-sample-data.md) 25 | - [Use sample data to do document processing](form-processing-sample-data.md) 26 | 27 | ## Build AI-powered canvas apps with sample data and prompts 28 | 29 | The solution includes sample data, canvas apps, prompts, and tables for several AI Builder apps. Each option comes with detailed instructions to guide you through using these components together. To get started, select one of the following options. 30 | 31 | - [Create a canvas app to develop a receipt reader that utilizes prompts](use-prompt-to-read-a-receipt.md) 32 | - [Create a canvas app to develop a document identity reader that utilizes prompts](use-a-prompt-to-read-document-identity.md) 33 | 34 | 35 | [!INCLUDE[footer-include](includes/footer-banner.md)] 36 | -------------------------------------------------------------------------------- /ai-builder-docs/share-your-experience.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: AI Builder community 3 | description: Learn about Microsoft forums, where you can read and contribute to discussions about AI Builder. 4 | author: v-aangie 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # AI Builder community 13 | 14 | The forums are a great resource where anyone can read and discuss topics with other AI Builder users. 15 | 16 | ## Join the discussion 17 | 18 | Read and post in the [AI Builder forum](https://go.microsoft.com/fwlink/?linkid=2092048). Before you post a new question, search the discussion forum to see whether your question is already answered. 19 | 20 | ## Related information 21 | 22 | - [Microsoft Power Apps Community](https://powerusers.microsoft.com/t5/AI-Builder/bd-p/AIBuilder1) 23 | - [Microsoft Power Automate Community](https://powerusers.microsoft.com/t5/AI-Builder/bd-p/AIBuilder) 24 | - [Microsoft Dataverse Community](https://powerusers.microsoft.com/t5/Microsoft-Dataverse/bd-p/CDS_Apps) 25 | - [Microsoft Copilot Studio Community](https://powerusers.microsoft.com/t5/Copilot-Studio-Community/ct-p/PVACommunity) 26 | 27 | 28 | [!INCLUDE[footer-include](includes/footer-banner.md)] 29 | -------------------------------------------------------------------------------- /ai-builder-docs/share-your-prompt.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Share your prompt 3 | description: Learn how to share your prompt. 4 | author: ashbhati 5 | contributors: 6 | - ashbhati 7 | - phil-cmd 8 | - v-aangie 9 | ms.topic: article 10 | ms.collection: 11 | - get-started 12 | - bap-ai-copilot 13 | ms.date: 11/01/2024 14 | ms.author: ashbhati 15 | ms.reviewer: angieandrews 16 | --- 17 | 18 | # Share your prompt 19 | 20 | Newly created prompts are private by default. This means they're visible and usable in Power Automate, Power Apps, and Microsoft Copilot Studio only by the person who created them. This allows the maker the time to test and evaluate them in apps or workflows and ensure their accuracy before sharing them. 21 | 22 | If you want other users of the environment or groups to use your prompt in Power Apps or Power Automate, you need to share it. 23 | 24 | > [!IMPORTANT] 25 | > - AI Builder prompts are running on GPT 4o Mini and GPT 4o model versions powered by [Azure OpenAI Service](/azure/ai-services/openai/whats-new). 26 | > - This capability is [limited to some regions](availability-region.md#prompts). 27 | > - This capability might be subject to usage limits or capacity throttling. 28 | 29 | ## Use the Share action 30 | 31 | The Share action is available for every prompt owner on the **My prompts** page in Power Automate, Power Apps, and Microsoft Copilot Studio. It’s also available for the system administrator of the environment, or for any security role that has the share permissions. Sharing a prompt is performed by selecting **Share** for the respective prompt. You can add people as **Users** of your prompt so they can use your prompts in flows, apps, and chatbots. 32 | 33 | ## Understand the Share panel 34 | 35 | When you select the **Share** action, a **Share** panel appears. This is where you select users or teams in your organization with whom you'll share your prompt. 36 | 37 | ### Prompt list views 38 | 39 | The prompts visible to you appear in three different views on the Prompts page. 40 | 41 | - **My prompts**: The prompts you created. 42 | - **Shared with me**: The prompts that are shared with you. 43 | - **All prompts**: All the prompts that you created or are shared with you. 44 | 45 | ## FAQ 46 | 47 | This section contains frequently asked questions and their answers. 48 | 49 | ### Can I allow other users to edit my prompts? 50 | 51 | No. When you share a prompt with a user, they don't have the ability to edit or delete it. 52 | 53 | ### Can I stop sharing a prompt? 54 | 55 | Yes. To stop sharing a prompt, select **Share** > <***user or team name***>. Then, select the **X** to stop sharing the prompt with user or team. 56 | 57 | -------------------------------------------------------------------------------- /ai-builder-docs/sharepoint-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: AI Builder in SharePoint with Microsoft Syntex overview - AI Builder 3 | description: Provides an overview of how to use your AI models in SharePoint with Microsoft Syntex. 4 | author: antrodfr 5 | contributors: 6 | - antrodfr 7 | - v-aangie 8 | ms.topic: overview 9 | ms.custom: 10 | ms.date: 11/20/2024 11 | ms.author: antrod 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # AI Builder in SharePoint with Microsoft Syntex overview 16 | 17 | With the Microsoft Syntex service, you're able to create AI Builder models in SharePoint. To learn more, go to [Overview of Microsoft Syntex](/microsoft-365/contentunderstanding/syntex-overview). 18 | 19 | From the **Classify and Extract** menu in your SharePoint library, you can apply an existing AI model to a library or create a new one. Two model types are powered by AI Builder: 20 | - **Structured document processing:** Creates AI Builder document processing models for fixed-template documents like invoices, purchase orders, delivery orders, tax documents, and more. 21 | - **Freeform document processing:** Creates AI Builder document processing models for general documents like invoices, purchase orders, delivery orders, tax documents, but also contracts, statements of work, letters, and more. 22 | 23 | Once an AI Builder model is applied to a library, every document added to the library will be processed by the applied model. The results are displayed as new library columns. 24 | 25 | To learn about requirements and get step-by-step instructions on how to use this service, go to [Work with models](/microsoft-365/contentunderstanding/model-types-overview). 26 | 27 | ## Training data storage 28 | 29 | If you're using AI Builder models, training data is stored in [Microsoft Dataverse](/power-apps/maker/data-platform/data-platform-intro). 30 | 31 | Only training data is stored in Dataverse. It's used solely to train the AI Builder model and is never used for any other purpose. Training data is never shared externally. 32 | 33 | Dataverse has strong security mechanisms that prevent unauthorized access to user data. Data stored to train your AI Builder model is only accessible by: 34 | 35 | - The owner of the model. 36 | - Individuals with Power Platform **System Administrator** and **System Customizer** roles in your organization. 37 | 38 | To learn more, go to [Roles and security in AI Builder](/ai-builder/security). 39 | 40 | ## Related information 41 | 42 | - [AI Builder document processing models](form-processing-model-overview.md)
43 | - [Feature availability by region](availability-region.md)
44 | - [Roles and security in AI Builder](security.md) 45 | 46 | [!INCLUDE[footer-include](includes/footer-banner.md)] 47 | -------------------------------------------------------------------------------- /ai-builder-docs/support.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Support - AI Builder 3 | description: Shows where to get help with AI Builder. 4 | author: v-aangie 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Get support for AI Builder 13 | 14 | You can get support for AI Builder on the AI Builder community forums. Features that have been released for general availability are eligible for support through Microsoft Support. 15 | 16 | ## AI Builder community forums 17 | 18 | Check Microsoft community forums to see if other users have posted a solution that might help you. 19 | 20 | - [AI Builder in Power Apps community forum](https://go.microsoft.com/fwlink/?linkid=2092048) 21 | - [AI Builder in Power Automate community forum](https://powerusers.microsoft.com/t5/AI-Builder/bd-p/AIBuilder) 22 | 23 | ## Microsoft support 24 | 25 | For features that have been released for general availability, you can use the Power Platform admin center to request support from Microsoft. 26 | 27 | 1. Sign in to the [Power Platform admin center](https://admin.powerplatform.microsoft.com/). 28 | 2. In the left pane, select **Help + Support**, and then select **New support request**. 29 | 30 | For more information about the Microsoft Power Platform **Help + Support** experience, see [Get Help + Support](/power-platform/admin/get-help-support). 31 | 32 | > [!NOTE] 33 | > You can't create a new support request to get support from Microsoft for preview features. Go to the [AI Builder community forums](https://go.microsoft.com/fwlink/?linkid=2092048) to get help with any issue that's related to a preview feature. 34 | 35 | ## Related information 36 | 37 | - [Microsoft Dataverse in Power Apps community forum](https://powerusers.microsoft.com/t5/Microsoft-Dataverse/bd-p/CDS_Apps) 38 | - [Connect To Data in Power Automate community forum](https://powerusers.microsoft.com/t5/Connecting-To-Data/bd-p/ConnectingToData) 39 | 40 | 41 | [!INCLUDE[footer-include](includes/footer-banner.md)] 42 | -------------------------------------------------------------------------------- /ai-builder-docs/text-classification-model-use-tags.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use a model to generate tags - AI Builder 3 | description: Provides information about how to use category classification model–generated tags, and some troubleshooting information 4 | author: v-aangie 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use a category classification model to generate tags 13 | 14 | ## Use in Power Automate 15 | 16 | If you want to use your trained model in Power Automate, go to [Use a category classification custom model in Power Automate](text-classification-model-in-flow.md). 17 | 18 | 19 | 20 | ## Use in Power Apps 21 | 22 | You can integrate your AI Builder category classification models in Power Apps Studio by using the formula bar. For more information, go to [Use Power Fx in AI Builder models in Power Apps (preview)](powerfx-in-powerapps.md). 23 | 24 | ## Set a run schedule on Microsoft Dataverse (preview) 25 | 26 | [!INCLUDE [cc-beta-prerelease-disclaimer](includes/cc-beta-prerelease-disclaimer.md)] 27 | 28 | Create a schedule to generate predictions regularly in Microsoft Dataverse. 29 | 30 | 1. To set the run schedule, go to the **Run** view in the **Model settings** panel. 31 | 32 | 1. To configure your model to run on your database and generate predictions, select **Generate predictions when new data is added**. 33 | 34 | Your model runs whenever a new row is added to its table. 35 | 36 | To learn more, go to [Run your prediction model](prediction-use.md#prediction-run). 37 | 38 | > [!NOTE] 39 | >You can’t set run schedule for imported category classification models. 40 | 41 | ## What if the model isn't writing new tag suggestions? 42 | 43 | - Check that you didn't exceed the number of runs for your Power Automate subscription. 44 | 45 | - Turn off the Dataverse run setting, and then turn it back on. 46 | 47 | [!INCLUDE[footer-include](includes/footer-banner.md)] 48 | -------------------------------------------------------------------------------- /ai-builder-docs/text-classification-overview.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Overview of category classification model - AI Builder 3 | description: Describes category classification models. Gives an overview of how to build and use category classification models in AI Builder. 4 | author: phil-cmd 5 | ms.topic: overview 6 | ms.date: 11/20/2024 7 | ms.author: plarrue 8 | ms.reviewer: angieandrews 9 | --- 10 | 11 | # Overview of the category classification custom model 12 | 13 | The volume of text data is increasing exponentially for organizations. Channels such as email, documents, and social media contribute increasing amounts of text data. This data carries valuable information that—when extracted and acted on—helps you provide better products and services to your customers. Dealing with this ever-growing volume of data is often time-consuming and error-prone, and can lead to missed business opportunities and increased costs. 14 | 15 | Category classification is one of the fundamental natural language processing (NLP) challenges. With category classification, you can identify text entries with tags to be used for things like: 16 | 17 | - Sentiment analysis 18 | - Spam detection 19 | - Customer request routing 20 | - Other business needs 21 | 22 | Automate and scale your business processes with AI Builder category classification in [Power Automate](https://flow.microsoft.com/) and [Power Apps](https://powerapps.microsoft.com/). AI Builder models help free your employees to act on new insights. Use the results as an input for other AI capabilities, like subscription user churn and predictive analysis. AI Builder learns from your previously labeled text items and enables you to classify unstructured text data stored in Microsoft Dataverse into your own business-specific categories. 23 | 24 | ## Next steps 25 | 26 | - [Before you build a category classification model](before-you-build-text-classification-model.md) 27 | - [Create a category classification model](create-text-classification-model.md) 28 | 29 | ## Related information 30 | 31 | - [Use a category classification custom model in Power Automate](text-classification-model-in-flow.md) 32 | - [Use the text recognizer component in Power Apps](prebuilt-text-recognizer-component-in-powerapps.md) 33 | - [Feature availability by region](availability-region.md) 34 | - [Training: Get started with AI Builder category classification (module)](/training/modules/ai-builder-category-classification/) 35 | 36 | -------------------------------------------------------------------------------- /ai-builder-docs/text-classification-performance.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Understand category classification model performance - AI Builder | Microsoft Docs 3 | description: Provides an understanding of how to evaluate and understand category classification model performance 4 | author: ashishb 5 | ms.topic: concept-article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Understand category classification model performance 13 | 14 | After each training, AI Builder uses the test dataset to evaluate the quality and accuracy of your AI model. A summary page for your model shows your model training results, including a **Performance** score. 15 | 16 | AI Builder calculates your model's performance score based on the precision and recall of the prediction results, as well as the F1 score: 17 | 18 | - **Performance score**: This score is calculated using precision, recall, and F1 scores. Performance score values are from 0 and 100. Generally, the higher the performance score, the better your model is. 19 | - **Precision**: The fraction of correct predictions among all the positive predictions. 20 | - **Recall**: The fraction of correct predictions among all true positive cases. 21 | 22 | ## Quick test 23 | 24 | You can also select **Quick Test** to assess the quality of the model. Just enter text that you want to tag. More information: [Evaluate your model](manage-model.md#evaluate-your-model) 25 | 26 | ### Next step 27 | 28 | [Improve the performance of your category classification model](improve-text-classification-performance.md) 29 | 30 | 31 | [!INCLUDE[footer-include](includes/footer-banner.md)] 32 | -------------------------------------------------------------------------------- /ai-builder-docs/text-classification-view-predictions.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: View generated results - AI Builder | Microsoft Docs 3 | description: Provides steps to view category classification predictions after you publish your model in AI Builder. 4 | author: ashishb 5 | ms.topic: how-to 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # View results 13 | 14 | This topic shows you how to see the output of your prediction model. 15 | 16 | 1. After you select **Use model** and configure it to run on Microsoft Dataverse, the output location appears in the **Settings** pane under the **Run** pivot. 17 | 18 | The name shown in **Tags output** is the name of the entity and attribute that's created after publishing. It's a link that takes you to the entity viewer section where the new fields added by AI Builder appear. 19 | 20 | 2. In the **Views** section, see values of the output fields for the different records. Use the **Filter by** function in the lower-right side pane to filter for only the records that don't have a label. 21 | 22 | 3. Next, you can build a basic model-driven app to use the output. For information about how to build a model-driven app in Power Apps, see [model-driven app overview](/powerapps/maker/model-driven-apps/model-driven-app-overview). 23 | 24 | ### Next step 25 | 26 | [Use a category classification model to generate tags](text-classification-model-use-tags.md) 27 | 28 | [!INCLUDE[footer-include](includes/footer-banner.md)] 29 | -------------------------------------------------------------------------------- /ai-builder-docs/train-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Train your AI Builder model - AI Builder 3 | description: Provides an overview of what it means to train your AI model, and provides steps to do so 4 | author: phil-cmd 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 11/20/2024 8 | ms.author: plarrue 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Train your model in AI Builder 13 | 14 | Before you can use your AI model, you have to train it to perform the way you want. After you train your model, [publish it](publish-model.md) to make it available to other people. 15 | 16 | When you create a model in AI Builder, you configure it based on the needs of your business. Each time you save changes to your model in AI Builder, AI Builder saves your progress as a draft. When you're done, confirm the settings with which you want to train your model, and then select **Train** to begin training. 17 | 18 | > [!div class="mx-imgBorder"] 19 | > ![Train your model screen.](media/train-model.png "Train your model screen") 20 | 21 | > [!NOTE] 22 | > Training takes time, so you can stay on the page and wait, or you can close the page and come back later. 23 | 24 | After you train your model for the first time, you have access to a details page where you can [manage your model](manage-model.md) and—for some model types—view the model's performance results. 25 | 26 | On the details page, training results appear in the **Last trained version** section. 27 | 28 | ### Next steps 29 | 30 | - [Manage your model in AI Builder](manage-model.md) 31 | - [Publish your model in AI Builder](publish-model.md) 32 | 33 | 34 | [!INCLUDE[footer-include](includes/footer-banner.md)] 35 | -------------------------------------------------------------------------------- /ai-builder-docs/train-text-classification-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Train your category classification model - AI Builder 3 | description: Provides step-by-step instructions on how to train your category classification model. 4 | author: norliu 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/28/2025 8 | ms.author: norliu 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Train your category classification model 13 | 14 | Before you can use your category classification model, you must train it to perform the way you want. After you train your model, publish it to make it available to other people. 15 | 16 | ## Train 17 | 18 | You're now ready to run your training: 19 | 20 | - To begin training your category classification model, review your configuration, and then select **Train**. When it's ready, you'll be notified. 21 | 22 | - To retrain an existing version of the model, select **Retrain now** from the ellipsis in the model summary performance. 23 | 24 | Retraining will train the model based on the same set of configurations you've done when you're creating your category classification model, and on the same dataset. If you want to change the training configurations before retrain, select **Edit model**. 25 | 26 | - To train a new version of the model, select **Edit model**. This will create a new draft of your model that you can configure and train. 27 | 28 | ## Troubleshooting tips 29 | 30 | If you have difficulty training your model, try these suggestions: 31 | 32 | - Make sure your data meets the guidelines listed in [Before you build a category classification model](before-you-build-text-classification-model.md). 33 | 34 | - Learn how you can [improve category classification model performance](improve-text-classification-performance.md). 35 | 36 | - Download [sample material](text-classification-sample-data.md) and use it for testing. 37 | 38 | ## Next step 39 | 40 | [Understand category classification model performance](text-classification-performance.md) 41 | 42 | 43 | [!INCLUDE[footer-include](includes/footer-banner.md)] 44 | -------------------------------------------------------------------------------- /ai-builder-docs/use-a-prompt-to-read-document-identity.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Create a canvas app to develop a document identity reader that utilizes prompts 3 | description: Learn how to create a canvas app to develop a document identity reader that utilizes prompts. 4 | author: phil-cmd 5 | contributors: 6 | - phil-cmd 7 | - v-aangie 8 | ms.topic: how-to 9 | ms.custom: 10 | ms.date: 02/05/2025 11 | ms.author: angieandrews 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # Create a canvas app to develop a document identity reader that utilizes prompts 16 | 17 | This sample allows you to explore a canvas app that extracts information from identity documents, such as a U.S. passport or a French identity card, using a prompt and a Dataverse table. 18 | 19 | ## Prerequisites 20 | 21 | - Active Power Apps plan 22 | - AI Builder credits 23 | - Dataverse environment 24 | 25 | ## Import the solution 26 | 27 | Before you start the import process, make sure you meet the [prerequisites](#prerequisites). 28 | 29 | 1. Sign in to [Power Automate](https://make.powerautomate.com/) or [Power Apps](https://make.powerapps.com/). 30 | 1. On the left navigation pane, select **Solutions** > **Import Solution**. 31 | 1. To import the solution file, select **Browse** > [Documentidentityreader_1_0_0_1.zip](https://go.microsoft.com/fwlink/?linkid=2301870) > **Next** > **Import**. 32 | 33 | It might take a few minutes to import the solution. 34 | 35 | ## Try it out 36 | 37 | Before you begin, make sure you have the following set up: 38 | 39 | 1. On the left navigation pane, select **Tables**. You should have a table called **Table document identity**. 40 | 1. On the left navigation pane, select **... More** > **AI hub** > **Prompts** > **My Prompts**. You should have a prompt called **Document identity reader**. 41 | 1. On the left navigation pane, select **Apps** > **My apps**. You should have a canvas app called **Document identity reader v1**. 42 | 43 | You can now run the app to try it out. 44 | 45 | 1. In the canvas app, select a camera control. 46 | 1. Capture an image of an identity document with the front or rear camera. 47 | 1. Extract the document's information and output it as a JSON object with a prompt. 48 | 1. Save the output JSON data as a row in a Dataverse table. 49 | 50 | :::image type="content" source="media/use-a-prompt-to-read-document-identity/id-reader-app.png" alt-text="Screenshot of the id reader app."::: 51 | 52 | ## Related information 53 | 54 | - [Change the output of your prompt](change-prompt-output.md) 55 | - [Add text, image, or document input to a prompt](add-inputs-prompt.md) 56 | 57 | -------------------------------------------------------------------------------- /ai-builder-docs/use-in-flow-prereq.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: AI Builder in Power Automate prerequisites - AI Builder | Microsoft Docs 3 | description: Provides the information you need to know before you can use AI Builder in Power Automate. 4 | author: JoeFernandezMS 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: jofernan 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Prerequisites for using AI Builder in Power Automate 13 | 14 | Before you can use AI Builder in Power Automate, you need: 15 | 16 | - An account with access to [Power Automate](https://flow.microsoft.com/) 17 | - A trained [AI Builder model](build-model.md) or an AI Builder [prebuilt model](prebuilt-overview.md). 18 | 19 | ## Related information 20 | 21 | [AI Builder prerequisites](build-model.md#prerequisites) 22 | -------------------------------------------------------------------------------- /ai-builder-docs/use-model.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Use your AI Builder model - AI Builder 3 | description: Provides steps by step instructions about how to use your model in AI Builder. 4 | author: v-aangie 5 | ms.topic: article 6 | ms.custom: 7 | ms.date: 01/27/2025 8 | ms.author: angieandrews 9 | ms.reviewer: angieandrews 10 | --- 11 | 12 | # Use your AI model 13 | 14 | After you publish your model, you can use it across Microsoft Power Platform to create end-to-end solutions that meet your business needs. 15 | 16 | ## Get straight to productivity 17 | 18 | When you select a *prebuilt model* from one of the tiles in **Try out AI capabilities for each data type**, you can choose how you want to use the model (in a flow or app), and then AI Builder will provide you with the steps to build it. A prebuilt model tile doesn't have the word **Custom** in the upper-right corner. When you select it, the next screen shows **Prebuilt model** in the upper right. The following example shows the screen for the business card reader model. 19 | 20 | > [!div class="mx-imgBorder"] 21 | > ![Screenshot showing choices for how to use your model.](media/ai-capabilities.png "Choose how to use your model") 22 | 23 | ## Optimize a model for your business outcome 24 | 25 | When you select a *custom model* from one of the tiles in **Try out AI capabilities for each data type**, you can customize your own steps. You can learn how your model is used in the detail page. 26 | 27 | > [!div class="mx-imgBorder"] 28 | > ![How your model is used.](media/model-used-box.png "How your model is used.") 29 | 30 | To learn how to use each AI Builder model in Power Automate or Power Apps, select one of the following links for details: 31 | 32 | - [Use AI Builder in Power Automate](use-in-flow-overview.md) 33 | - [Use AI Builder in Power Apps](use-in-powerapps-overview.md) 34 | 35 | ## Next step 36 | 37 | [Share your AI model](share-model.md) 38 | 39 | [!INCLUDE[footer-include](includes/footer-banner.md)] 40 | -------------------------------------------------------------------------------- /ai-builder-docs/use-prompt-to-read-a-receipt.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Create a canvas app to develop a receipt reader that utilizes prompts 3 | description: Learn how to create a canvas app to develop a receipt reader that utilizes prompts. 4 | author: phil-cmd 5 | contributors: 6 | - phil-cmd 7 | - v-aangie 8 | ms.topic: how-to 9 | ms.custom: 10 | ms.date: 02/05/2025 11 | ms.author: angieandrews 12 | ms.reviewer: angieandrews 13 | --- 14 | 15 | # Create a canvas app to develop a receipt reader that utilizes prompts 16 | 17 | This sample demonstrates how to use a canvas app to extract information from a receipt with the help of a prompt and a Dataverse table. 18 | 19 | ## Prerequisites 20 | 21 | - Active Power Apps plan 22 | - AI Builder credits 23 | - Dataverse environment 24 | 25 | ## Import the solution 26 | 27 | Before you start the import process, make sure you meet the [prerequisites](#prerequisites). 28 | 29 | 1. Sign in to [Power Automate](https://make.powerautomate.com/) or [Power Apps](https://make.powerapps.com/). 30 | 1. On the left navigation pane, select **Solutions** > **Import Solution**. 31 | 1. To import the solution file, select **Browse** > ["Receiptreader_1_0_0_1.zip"](https://go.microsoft.com/fwlink/?linkid=2301859) > **Next** > **Import**. 32 | 33 | It might take a few minutes to import the solution. 34 | 35 | ## Try it out 36 | 37 | Before you begin, make sure you have the following set up: 38 | 39 | 1. On the left navigation pane, select **Tables**. You should have two (2) tables called **Table receipt** and **World Currencies**. 40 | 1. On the left navigation pane, select **... More** > **AI hub** > **Prompts** > **My Prompts**. You should have a prompt called **Receipt reader**. 41 | 1. On the left navigation pane, select **Apps** > **My apps**. You should have a canvas app called **Receipt Reader v1**. 42 | 43 | You can now run the app to try it out. 44 | 45 | 1. In the canvas app, select a camera control. 46 | 1. Capture an image of a receipt with the front or rear camera. 47 | 1. Extract the receipt data as a JSON object with a prompt. 48 | 1. Save the output JSON data as a row in a Dataverse table. 49 | 50 | :::image type="content" source="media/use-prompt-to-read-a-receipt/receipt-reader-app.png" alt-text="Screenshot of the receipt reader app."::: 51 | 52 | ## Related information 53 | 54 | - [Use your own data in a prompt](use-your-own-prompt-data.md) 55 | - [Change the output of your prompt](change-prompt-output.md) 56 | - [Add text, image, or document input to a prompt](add-inputs-prompt.md) 57 | 58 | --------------------------------------------------------------------------------