├── .archive ├── README_BACKUP.md ├── README_CLEAN.md └── README_NEW.md ├── .digital_palace_toolbox ├── ENHANCEMENT_IDEAS.md ├── README.md ├── VSCODE_COPILOT_INTEGRATION.md ├── assess_linkedin_posts.py ├── batch_fix_links.py ├── check_external_links.py ├── check_images.py ├── check_internal_links.py ├── check_post.py ├── comprehensive_quality_check.py ├── demo_link_checkers.py ├── fix_character_count.py ├── fix_headers.py ├── health_dashboard.py ├── linkedin_character_counter.py ├── requirements.txt ├── test_link_checkers.py └── verify_installation.py ├── .github ├── copilot-instructions.md ├── gpt4_1_agent.chamode.md └── prompts │ └── add_to_digital_palace.prompt.md ├── .gitignore ├── .prompts └── 01-linkedin-prompt.md ├── .tasks ├── 01_restructure.md ├── 02_linkedin_post.md └── research │ ├── README.md │ └── Self-Consistency_research.md ├── .vscode ├── copilot-instructions.md ├── extensions.json ├── init_chroma.py ├── markdown.json ├── settings.json ├── tasks.json ├── tasks_linkedin_posts.json └── test_chroma.py ├── ASCII_DIAGRAM_AUDIT_REPORT.md ├── Excalidraw └── Drawing 2024-03-22 09.07.56.excalidraw.md ├── README.md ├── Untitled 1.base ├── Untitled.base ├── ZZ-textgenerator └── templates │ ├── awesomePrompts │ ├── academicianAwesome.md │ ├── accountantAwesome.md │ ├── advertiserAwesome.md │ ├── aiassisteddoctorAwesome.md │ ├── aitryingtoescapetheboxAwesome.md │ ├── aiwritingtutorAwesome.md │ ├── aphorismbookAwesome.md │ ├── artistadvisorAwesome.md │ ├── asciiartistAwesome.md │ ├── astrologerAwesome.md │ ├── automobilemechanicAwesome.md │ ├── babysitterAwesome.md │ ├── biblicaltranslatorAwesome.md │ ├── buddhaAwesome.md │ ├── careercounselorAwesome.md │ ├── carnavigationsystemAwesome.md │ ├── characterfrommoviebookanythingAwesome.md │ ├── chatgptpromptgeneratorAwesome.md │ ├── cheaptravelticketadvisorAwesome.md │ ├── chefAwesome.md │ ├── chemicalreactorAwesome.md │ ├── chessplayerAwesome.md │ ├── chiefexecutiveofficerAwesome.md │ ├── classicalmusiccomposerAwesome.md │ ├── commentariatAwesome.md │ ├── commitmessagegeneratorAwesome.md │ ├── composerAwesome.md │ ├── coverletterAwesome.md │ ├── cybersecurityspecialistAwesome.md │ ├── datascientistAwesome.md │ ├── debatecoachAwesome.md │ ├── debaterAwesome.md │ ├── dentistAwesome.md │ ├── developerrelationsconsultantAwesome.md │ ├── diagramgeneratorAwesome.md │ ├── dietitianAwesome.md │ ├── digitalartgalleryguideAwesome.md │ ├── diyexpertAwesome.md │ ├── doctorAwesome.md │ ├── dreaminterpreterAwesome.md │ ├── drunkpersonAwesome.md │ ├── educationalcontentcreatorAwesome.md │ ├── elocutionistAwesome.md │ ├── emergencyresponseprofessionalAwesome.md │ ├── emojitranslatorAwesome.md │ ├── englishpronunciationhelperAwesome.md │ ├── englishtranslatorandimproverAwesome.md │ ├── essaywriterAwesome.md │ ├── etymologistAwesome.md │ ├── excelsheetAwesome.md │ ├── fallacyfinderAwesome.md │ ├── fancytitlegeneratorAwesome.md │ ├── fillintheblankworksheetsgeneratorAwesome.md │ ├── filmcriticAwesome.md │ ├── financialanalystAwesome.md │ ├── floristAwesome.md │ ├── foodcriticAwesome.md │ ├── footballcommentatorAwesome.md │ ├── friendAwesome.md │ ├── fullstacksoftwaredeveloperAwesome.md │ ├── gaslighterAwesome.md │ ├── gnomistAwesome.md │ ├── gomokuplayerAwesome.md │ ├── historianAwesome.md │ ├── hypnotherapistAwesome.md │ ├── instructorinaschoolAwesome.md │ ├── interiordecoratorAwesome.md │ ├── investmentmanagerAwesome.md │ ├── itarchitectAwesome.md │ ├── itexpertAwesome.md │ ├── japanesekanjiquizmachineAwesome.md │ ├── javascriptconsoleAwesome.md │ ├── journalistAwesome.md │ ├── journalreviewerAwesome.md │ ├── languagedetectorAwesome.md │ ├── languageliterarycriticAwesome.md │ ├── legaladvisorAwesome.md │ ├── lifecoachAwesome.md │ ├── linuxterminalAwesome.md │ ├── logisticianAwesome.md │ ├── lunaticAwesome.md │ ├── machinelearningengineerAwesome.md │ ├── magicianAwesome.md │ ├── makeupartistAwesome.md │ ├── mathematicalhistoryteacherAwesome.md │ ├── mathematicianAwesome.md │ ├── mathteacherAwesome.md │ ├── mentalhealthadviserAwesome.md │ ├── midjourneypromptgeneratorAwesome.md │ ├── morsecodetranslatorAwesome.md │ ├── motivationalcoachAwesome.md │ ├── motivationalspeakerAwesome.md │ ├── moviecriticAwesome.md │ ├── muslimimamAwesome.md │ ├── newlanguagecreatorAwesome.md │ ├── notetakingassistantAwesome.md │ ├── novelistAwesome.md │ ├── passwordgeneratorAwesome.md │ ├── personalchefAwesome.md │ ├── personalshopperAwesome.md │ ├── personalstylistAwesome.md │ ├── personaltrainerAwesome.md │ ├── petbehavioristAwesome.md │ ├── philosopherAwesome.md │ ├── philosophyteacherAwesome.md │ ├── phpinterpreterAwesome.md │ ├── plagiarismcheckerAwesome.md │ ├── poetAwesome.md │ ├── positioninterviewerAwesome.md │ ├── productmanagerAwesome.md │ ├── promptenhancerAwesome.md │ ├── promptgeneratorAwesome.md │ ├── proofreaderAwesome.md │ ├── psychologistAwesome.md │ ├── publicspeakingcoachAwesome.md │ ├── pythoninterpreterAwesome.md │ ├── rapperAwesome.md │ ├── realestateagentAwesome.md │ ├── recruiterAwesome.md │ ├── regexgeneratorAwesome.md │ ├── relationshipcoachAwesome.md │ ├── rprogramminginterpreterAwesome.md │ ├── salespersonAwesome.md │ ├── scientificdatavisualizerAwesome.md │ ├── screenwriterAwesome.md │ ├── selfhelpbookAwesome.md │ ├── seniorfrontenddeveloperAwesome.md │ ├── smartdomainnamegeneratorAwesome.md │ ├── socialmediainfluencerAwesome.md │ ├── socialmediamanagerAwesome.md │ ├── socratAwesome.md │ ├── socraticmethodAwesome.md │ ├── softwarequalityassurancetesterAwesome.md │ ├── solrsearchengineAwesome.md │ ├── songrecommenderAwesome.md │ ├── speechlanguagepathologistslpAwesome.md │ ├── spokenenglishteacherandimproverAwesome.md │ ├── spongebobsmagicconchshellAwesome.md │ ├── sqlterminalAwesome.md │ ├── stackoverflowpostAwesome.md │ ├── standupcomedianAwesome.md │ ├── startupideageneratorAwesome.md │ ├── startuptechlawyerAwesome.md │ ├── statisticianAwesome.md │ ├── storytellerAwesome.md │ ├── svgdesignerAwesome.md │ ├── synonymfinderAwesome.md │ ├── talentcoachAwesome.md │ ├── teatasterAwesome.md │ ├── technologytransfererAwesome.md │ ├── techreviewerAwesome.md │ ├── techwriterAwesome.md │ ├── textbasedadventuregameAwesome.md │ ├── tictactoegameAwesome.md │ ├── timetravelguideAwesome.md │ ├── titlegeneratorforwrittenpiecesAwesome.md │ ├── travelguideAwesome.md │ ├── unconstrainedaimodeldanAwesome.md │ ├── uxuideveloperAwesome.md │ ├── virtualdoctorAwesome.md │ ├── webbrowserAwesome.md │ ├── webdesignconsultantAwesome.md │ ├── wikipediapageAwesome.md │ └── yogiAwesome.md │ ├── dalle │ ├── art3D.md │ ├── artAnime.md │ ├── artBallPointPen.md │ ├── artBanksy.md │ ├── artBauhaus.md │ ├── artCartoon.md │ ├── artChildrenDrawing.md │ ├── artClaymation.md │ ├── artColoringBook.md │ ├── artCyberpunk.md │ ├── artDeco.md │ ├── artDigital.md │ ├── artGlitchcore.md │ ├── artGraffiti.md │ ├── artLine.md │ ├── artLowPoly.md │ ├── artModern.md │ ├── artNormanRockwell.md │ ├── artPencilSketch.md │ ├── artPixel.md │ ├── artPsychedelic.md │ ├── artSalvadorDali.md │ ├── artSprayPainted.md │ ├── artSteampunk.md │ ├── artStock.md │ ├── artSynthwave.md │ ├── artTakashiMurakami.md │ ├── artTimBurton.md │ ├── artUkiyoe.md │ ├── artVanGogh.md │ ├── artVaporwave.md │ ├── artWarhol.md │ ├── artWatercolor.md │ ├── dall-e-core.md │ ├── getPhoto.md │ ├── ligAmbient.md │ ├── ligCinematic.md │ ├── ligFlare.md │ ├── ligGoldenHour.md │ ├── ligStudio.md │ ├── modArtStation.md │ ├── modAwardWinning.md │ ├── modDetailed.md │ ├── modFanart.md │ ├── modPhotorealistic.md │ ├── qua15mm.md │ ├── qua200mm.md │ ├── qua35mm.md │ ├── qua4K.md │ ├── qua85mm.md │ ├── quaBokeh.md │ ├── quaCinematic.md │ ├── quaMacro.md │ ├── quaTiltShift.md │ └── sitNature.md │ ├── default │ ├── getEmailNeg.md │ ├── getEmailPos.md │ ├── getIdeas.md │ ├── getOutline.md │ ├── getParagraph.md │ ├── getTags.md │ ├── getTitles.md │ ├── rewrite.md │ ├── simplify.md │ ├── summarize.md │ └── summarizeLarge.md │ ├── smartConnections │ └── summarize.md │ └── tts │ ├── listen.md │ └── speakAlloy.md ├── __pycache__ └── linkedin_character_counter.cpython-312.pyc ├── assets ├── 46f357a8-49b4-4135-8f90-6e85320d109d.jpeg ├── lamacard.png └── ng_agentic_reasoning.pdf ├── community ├── README.md ├── curated-blogs │ ├── 12-factor-agents.md │ ├── README.md │ ├── agents-towards-production.md │ ├── ai-engineering-hub.md │ ├── annotated-deep-learning-paper-implementations.md │ ├── blocks-mcp-server-playbook.md │ ├── context-engineering-handbook.md │ ├── context-kills-vram.md │ ├── gemini2-5-memory.md │ ├── getafix-facebook.md │ ├── gpt4-coding-agent-system-prompt.md │ ├── how-to-build-an-agent-ampcode.md │ ├── kimi-k2-locally.md │ ├── kiro.md │ ├── mlx-lm-lens.md │ ├── multi-vector-retrieval-weaviate.md │ ├── openhands.md │ ├── pgvector-cloudsql-gcp.md │ ├── rust-coder-lm-grpo.md │ ├── topic-memory-conversational-agents.md │ ├── vertex-ai-memory-bank.md │ ├── visual-guide-quantization.md │ └── web3-ai-agents-google-cloud.md ├── external-blogs │ └── blogs.md ├── newsletters │ └── exponential_ai │ │ └── 001 │ │ ├── README.md │ │ ├── illustration.png │ │ ├── logo.png │ │ └── logo2.png └── social-content │ ├── 2024-02-24-finetuning.md │ ├── 2024-02-25-bitdelta.md │ ├── 2024-03-02_unlock_ai_power_private_data_open_source_bonito_train_dataset.md │ ├── 2025-06-29-building-interactive-ai-agents-frontend.md │ ├── CONTENT_MANAGEMENT.md │ ├── README.md │ ├── assets │ └── finetuning_2402.14811.pdf │ ├── linkedin_posts.md │ └── llm_alpha │ └── README.md ├── concepts ├── README.md ├── adk-ag-ui-integration.md ├── adk-mcp-gke-shopping-assistant.md ├── adk.md ├── ag-ui.md ├── agent-communication.md ├── agent-deployment-patterns.md ├── agent-native-cloud.md ├── agent-protocols.md ├── agents-towards-production.md ├── ai-agents.md ├── ai-assistant-personas.md ├── ai-engineer-book-resources.md ├── ai-engineering-youtube-playlist.md ├── ai-home-renovation-agent-nano-banana.md ├── ai-legal-regulatory.md ├── ai-safety-ethics.md ├── ai-testing.md ├── ai-ux-design.md ├── amp.md ├── anime-js.md ├── api-design.md ├── app-template.md ├── apple-mlx.md ├── asmr-techniques.md ├── beehiiv.md ├── bertviz.md ├── bun.md ├── cloud-platforms.md ├── colbert.md ├── computer-use.md ├── computer-vision.md ├── context-engineering.md ├── context-management.md ├── contextual-retrieval.md ├── conversational-ai.md ├── copilotkit-adk.md ├── crawlee.md ├── crush.md ├── cs231n.md ├── datasets.md ├── deep-representation-learning-book.md ├── deepcode.md ├── depyler.md ├── diagramming-tools.md ├── dyad.md ├── edge-ai.md ├── eigent.md ├── embeddings.md ├── fine-tuning.md ├── frameworks.md ├── google-a2a-adk-multi-agent.md ├── gorilla-bfcl.md ├── graphrag.md ├── guided-llm-generation.md ├── hono.md ├── human-in-the-loop.md ├── inference.md ├── kimi-k2.md ├── knowledge-graphs.md ├── knowledge-management.md ├── learning-pathways.md ├── lightrag.md ├── llms.md ├── malloy.md ├── mcp-illustrated-guidebook.md ├── mcp.md ├── mental-models.md ├── minirag.md ├── mlops.md ├── model-compression.md ├── motia.md ├── multimodal-ai.md ├── observability.md ├── offensive-ml-playbook.md ├── opencoder-llm.md ├── pause-resume-workflows.md ├── presentation-tools.md ├── production-deployment.md ├── prompt-engineering.md ├── promptly.md ├── py2many.md ├── qwen-code.md ├── rag-anything.md ├── rag.md ├── real-time-ai.md ├── reinforcement-learning.md ├── skyreels-v2.md ├── smollm3.md ├── stateless-agent-design.md ├── steampipe.md ├── synthetic-data.md ├── tauri.md ├── technical-articles.md ├── tool-use.md ├── ui-ux-challenges.md ├── unwind-ai.md ├── vibe-coding.md ├── videorag.md ├── voice-ai.md ├── walden-yan-context-engineering.md └── workflow-automation.md ├── copilot-conversations ├── Find_people@20250703_114848.md └── How_to_improve_to_generate_an_image_more_natural@20250703_114629.md ├── copilot └── copilot-custom-prompts │ ├── Emojify.md │ ├── Explain like I am 5.md │ ├── Fix grammar and spelling.md │ ├── Generate glossary.md │ ├── Generate table of contents.md │ ├── Make longer.md │ ├── Make shorter.md │ ├── Remove URLs.md │ ├── Rewrite as tweet thread.md │ ├── Rewrite as tweet.md │ ├── Simplify.md │ ├── Summarize.md │ └── Translate to Chinese.md ├── debug_test.md ├── guides ├── README.md ├── agent-development │ ├── 12-factor-agents.md │ ├── README.md │ ├── adk-to-a2a-guide.md │ ├── llamaindex-multi-agent-learning-system.md │ └── sop_ai_agent.md ├── ai-agents.md ├── ai-ui.md ├── best-practices.md ├── business-ai.md ├── cinematic-prompting.md ├── conversational-ai.md ├── deployment.md ├── getting-started.md ├── goal-oriented-guides.md ├── google-adk-guide.md ├── image-generation │ ├── README.md │ ├── assets │ │ ├── 1349a758-f6aa-46fa-9525-7102d8d5ba88.jpeg │ │ ├── 1cb6f85a-9335-4cd9-bbf3-73d1776b1d00 (1).jpeg │ │ ├── 1ff88419-d0df-46c7-a5f0-dbf6fb13f7b1.jpeg │ │ ├── 2986de51-3df1-423d-804f-7310ede00015 1.jpeg │ │ ├── 2986de51-3df1-423d-804f-7310ede00015 2.jpeg │ │ ├── 2986de51-3df1-423d-804f-7310ede00015.jpeg │ │ ├── 3902f980-e1ea-431c-92c2-919e0a687822.jpeg │ │ ├── 3a93a93c-24ea-41ca-9165-c560405d3ead 1.jpeg │ │ ├── 3a93a93c-24ea-41ca-9165-c560405d3ead.jpeg │ │ ├── 46f357a8-49b4-4135-8f90-6e85320d109d 1.jpeg │ │ ├── 46f357a8-49b4-4135-8f90-6e85320d109d 2.jpeg │ │ ├── 46f357a8-49b4-4135-8f90-6e85320d109d 3.jpeg │ │ ├── 46f357a8-49b4-4135-8f90-6e85320d109d.jpeg │ │ ├── 5e6f50c8-2e70-4ab2-9a7b-e3f85a51c3d1.jpeg │ │ ├── 6d2c16b9-06d9-4492-860d-1691412cac85.jpeg │ │ ├── 725266b2-43b8-4350-96dc-26027dd6c1e6.jpeg │ │ ├── 83043c50-ac16-4d30-8cbc-ff7a539830a7.jpeg │ │ ├── Gv_ZO4BW8AAt6Ii.jpeg │ │ ├── Pasted image 20250716102039.png │ │ ├── QQQQ2e476220-836c-411e-acf8-438f6bfd6922.jpeg │ │ ├── a0d4b51b-e4ca-4932-a3a9-2a11e5560c3c.jpeg │ │ ├── a2d64952-6cbd-4dfd-a5ca-bc9dd067819b 1.jpeg │ │ ├── a2d64952-6cbd-4dfd-a5ca-bc9dd067819b.jpeg │ │ ├── a8910941-ddec-4b0f-b40c-f49e6b499fde (1).jpeg │ │ ├── accc41ab-80a7-47d9-8ac2-0b482ef8c231.jpeg │ │ ├── af7984be-aeed-4a3c-b9a5-856de1a03749.jpeg │ │ ├── bf8fa5f5-dcbf-4389-9b45-04e1420742fb.jpeg │ │ └── e969a211-0b0e-47bb-aa92-dc399db2f8b3.jpeg │ ├── prompt_01 1.md │ ├── prompt_01.md │ ├── prompt_02.md │ ├── prompt_03.md │ ├── prompt_04.md │ ├── prompt_05.md │ ├── prompt_06.md │ ├── prompt_07.md │ ├── prompt_08.md │ └── prompt_09.md ├── mcp-servers.md ├── monitoring.md ├── prompting │ ├── README.md │ └── chain_of_tought_leaders_prompting.md ├── quick-references │ ├── 2024-03-27_c_for_the_impatients.md │ ├── 2024-03-27_finite_automata_for_the_impatients.md │ ├── 2024-03-27_haskell_for_the_impatients.md │ ├── 2024-03-27_logic_for_the_impatients.md │ ├── 2024-03-27_rust_for_the_impatients.md │ ├── 2024-03-28_first_order_logic.md │ ├── 2024-03-28_modal_logic.md │ ├── 2024-03-28_proof_by_induction.md │ ├── 2024-03-28_propositional_logic_for_the_impatients.md │ ├── 2024-03-29_git_comprehensive_impatients.md │ ├── 2024-03-29_git_monorepo_tutorial.md │ ├── 2024-03-29_haskel_tutorial.md │ ├── 2024-03-30_delta_lake_for_the_impatients.md │ ├── 2024-07-11-prompt-engineering-for-the-impatient.md │ ├── 2024-07-27-jest.md │ ├── 2024-07-27-typesense.md │ ├── 2024-08-03-sleep-like-a-seal.md │ ├── 2024-08-07-unified_diff_format.md │ ├── 2024-08-14-AI-and-finance.md │ ├── 2024-08-23-anthropic.md │ ├── 2024-08-23-groq-api.md │ ├── 2024-09-01-duckdb.md │ ├── 2024-09-01-prompt-engineering-marketing.md │ ├── 2024-09-01-sbt-for-the-impatient.md.md │ ├── 2024-09-02-aws-glue-scala.md │ ├── 2024-09-02-aws-glue.md │ ├── 2024-09-03-bruno.md │ ├── 2024-09-03-uv-python.md │ ├── 2024-09-04-husky.md │ ├── 2024-09-04-kafka-connect.md │ ├── 2024-09-15-aws-s3-upload.md │ ├── 2024-10-03-impatient_investors_roadmap_to_risk_management.md │ ├── 2024-11-03-python-parser.md │ ├── 2024-11-04-parser-python-short.md │ ├── 2024-11-04-parser-sample.md │ ├── 2024-11-05-left-recursive-parser.md │ ├── 2025-01-16-quantalogic-flow-for-the-impatient.md │ ├── 2025-02-10-agile_for_the_impatient.md │ ├── 2025-06-29-gemini-cli-for-the-impatient.md │ ├── README.md │ └── assets │ │ ├── 04bae667-c552-47a5-aa65-134bbedcf370.jpeg │ │ ├── 18e2c2c2-483e-4f16-83d7-c4b25e9a2f20.jpeg │ │ ├── 2986de51-3df1-423d-804f-7310ede00015.jpeg │ │ ├── 3a93a93c-24ea-41ca-9165-c560405d3ead 1.jpeg │ │ ├── 3a93a93c-24ea-41ca-9165-c560405d3ead.jpeg │ │ ├── 5e6f50c8-2e70-4ab2-9a7b-e3f85a51c3d1.jpeg │ │ ├── Rust,_funny_Crab,_3D,_cartoon.png │ │ └── c9a7938c-06aa-4778-8b34-a283a48ee516.jpeg ├── rag-systems.md ├── training │ └── Training.md └── voice-ai.md ├── learning ├── README.md ├── courses │ ├── Computer Sciences Courses.md │ ├── README.md │ ├── README.md.md │ ├── ai_courses.md │ ├── aws_bedrock_data_automation.md │ ├── computer_vision.md │ ├── langchain.md │ ├── machine_learning.md │ ├── prompt_engineering.md │ ├── statistics.md │ └── system_courses.md └── learning-resources-hub.md ├── package.json ├── people ├── README.md ├── _DATA-SCHEMA.md ├── _FRONTMATTER.md ├── _format_people.md ├── _template.md ├── akshay-pachaar.md ├── andrej-karpathy.md ├── avi-chawla.md ├── awni-hannun.md ├── burke-holland.md ├── chao-huang.md ├── chris-mccord.md ├── david-kim.md ├── dex-horthy.md ├── geoffrey-hinton.md ├── hynek-schlawack.md ├── nir-diamant.md ├── people-hub-maintenance.sh ├── philschmid.md ├── raphaël-mansuy.md ├── sam-altman.md ├── shubham-saboo.md ├── thorsten-ball.md └── timnit-gebru.md ├── personal ├── README.md ├── elitizon_linkedin │ ├── 3-week-linkedin-post-plan.md │ ├── 58_prompt_techniques_analysis.md │ ├── README.md │ ├── _checklist.md │ ├── _quality_linkedin_post.md │ ├── _quality_rules_summary.md │ ├── _template.md │ ├── post_01_100b_prompt_engineering_opportunity.md │ ├── post_02_95_percent_fail_ai_collaboration.md │ ├── post_03_3_step_framework_bulletproof_prompts.md │ ├── post_04_role_based_prompting_expert_consultants.md │ ├── post_05_chain_of_thought_analyst_thinking.md │ ├── post_06_few_shot_learning_company_standards.md │ ├── post_07_constraint_based_prompting_real_world_solutions.md │ ├── post_08_output_format_control_professional_ready_results.md │ ├── post_09_iterative_refinement_ai_excellence.md │ ├── post_10_multi_step_workflows_complex_projects.md │ ├── post_11_context_engineering_managing_ai_memory.md │ ├── post_12_error_prevention_common_prompt_failures.md │ ├── post_13_quality_assurance_consistent_ai_performance.md │ ├── post_14_team_implementation_scaling_ai_organizations.md │ ├── post_15_marketing_automation_ai_campaign_creation.md │ ├── post_16_sales_optimization_prospect_research_outreach.md │ ├── post_17_operations_excellence_process_documentation.md │ ├── post_17_operations_excellence_process_documentation_new.md │ ├── post_18_customer_success_support_engagement.md │ ├── post_18_customer_success_support_engagement_new.md │ ├── post_19_hr_recruitment_talent_acquisition.md │ ├── post_19_hr_recruitment_talent_acquisition_new.md │ ├── post_20_finance_analysis_data_driven_decisions.md │ ├── post_20_finance_analysis_data_driven_decisions_new.md │ ├── post_21_legal_compliance_risk_management.md │ ├── post_21_legal_compliance_risk_management_new.md │ ├── post_22_strategy_planning_long_term_vision.md │ ├── post_22_strategy_planning_long_term_vision_new.md │ ├── post_23_product_development_innovation_management.md │ ├── post_23_product_development_innovation_management_new.md │ ├── post_24_project_management_coordination_tracking.md │ ├── post_24_project_management_coordination_tracking_new.md │ ├── post_25_leadership_communication_executive_presence.md │ ├── post_25_leadership_communication_executive_presence_new.md │ ├── post_26_self_consistency_multiple_reasoning_paths.md │ ├── post_26_self_consistency_multiple_reasoning_paths_new.md │ ├── post_27_step_back_prompting_abstract_strategic_thinking.md │ ├── post_27_step_back_prompting_abstract_strategic_thinking_new.md │ ├── post_28_analogical_reasoning_cross_domain_innovation.md │ ├── post_28_analogical_reasoning_cross_domain_innovation_new.md │ ├── post_29_tree_of_thought_complex_problem_exploration.md │ ├── post_29_tree_of_thought_complex_problem_exploration_new.md │ ├── post_30_plan_and_solve_systematic_project_planning.md │ ├── post_31_contrastive_learning_mistakes.md │ ├── post_31_contrastive_learning_mistakes_new.md │ ├── post_32_emotion_prompting_psychological_motivation.md │ ├── post_32_emotion_prompting_psychological_motivation_new.md │ ├── post_33_memory_of_thought_context_aware_retrieval.md │ ├── post_33_memory_of_thought_context_aware_retrieval_new.md │ ├── post_34_active_prompting_human_in_loop_optimization.md │ ├── post_34_active_prompting_human_in_loop_optimization_new.md │ ├── post_35_uncertainty_routing_complex_decisions.md │ ├── post_35_uncertainty_routing_complex_decisions_new.md │ ├── post_36_meta_prompting_ai_self_improvement.md │ ├── post_36_meta_prompting_ai_self_improvement_new.md │ ├── post_37_self_refine_iterative_quality.md │ ├── post_37_self_refine_iterative_quality_new.md │ ├── post_38_chain_verification_quality_systems.md │ ├── post_38_chain_verification_quality_systems_new.md │ ├── post_39_self_calibration_confidence_assessment.md │ ├── post_39_self_calibration_confidence_assessment_new.md │ ├── post_40_reverse_chain_thought_problem_validation.md │ ├── post_40_reverse_chain_thought_problem_validation_new.md │ ├── post_41_cumulative_reasoning_step_validation.md │ ├── post_42_self_verification_solution_scoring.md │ ├── post_43_automated_prompt_engineering_ape.md │ ├── post_44_gradient_free_optimization_grips.md │ ├── post_45_reinforcement_learning_rlprompt.md │ ├── post_46_ensemble_methods_multiple_approaches.md │ ├── post_47_mixture_experts_specialized_coordination.md │ ├── post_48_universal_self_consistency_ensembling.md │ ├── post_49_prompt_mining_optimal_templates.md │ ├── post_50_enterprise_architecture_scaling_ai.md │ ├── post_51_financial_services_specialized_prompts.md │ ├── post_52_healthcare_patient_care_excellence.md │ ├── post_52_healthcare_patient_care_excellence_fixed.md │ ├── post_53_legal_contract_intelligence.md │ ├── post_53_legal_contract_intelligence_fixed.md │ ├── post_54_manufacturing_production_optimization.md │ ├── post_54_manufacturing_production_optimization_fixed.md │ ├── process_linkedin.md │ ├── prompt_v0.md │ ├── prompt_v1.md │ ├── prompt_v2.md │ └── scratchpad_linkedin.md ├── ideas │ ├── README.md │ ├── ideas.md │ └── ideas_folder │ │ └── obsidian-chat.md ├── impatient-series │ └── README.md ├── linkedin │ ├── 2025-01-27-ai-safety-alignment-faking-research.md │ ├── 2025-07-10-no-need-rag.md │ ├── 2025-07-11-ai-project-struggle.md │ ├── 2025-07-11-mlops-book-announcement.md │ ├── 2025-07-12-breaking-token-barrier.md │ ├── 2025-07-13-12-factor-agents-reliability.md │ ├── 2025-07-14-mirix-memory-system-ai-assistants.md │ ├── 2025-07-15-codejudgebench-ai-code-quality-evaluation.md │ ├── 2025-07-16-amazon-s3-vectors-disrupts-vector-db.md │ ├── 2025-07-16-llm-instruction-limits-agent-reliability.md │ ├── 2025-07-17-aws-bedrock-agentcore-runtime-revolution.md │ ├── 2025-07-18-aime-adaptive-multi-agent-framework.md │ ├── 2025-07-24-agents-towards-production-playbook.md │ └── README.md ├── mental-models │ ├── 10-10-10-rule.md │ ├── README.md │ ├── abstraction-ladder.md │ ├── adaptation-vs-optimization.md │ ├── adaptive-immunity.md │ ├── adaptive-systems.md │ ├── affordance-theory.md │ ├── assessment-theory.md │ ├── attention-economics.md │ ├── bayesian-reasoning.md │ ├── behavioral-economics.md │ ├── blooms-taxonomy.md │ ├── brand-positioning-canvas.md │ ├── build-buy-partner-matrix.md │ ├── chaos-theory.md │ ├── cognitive-linguistics.md │ ├── cognitive-load-theory.md │ ├── communities-of-practice.md │ ├── community-formation.md │ ├── compliance-by-design.md │ ├── compound-growth.md │ ├── conservation-laws.md │ ├── constitutional-design-principles.md │ ├── constructivist-learning.md │ ├── content-performance-matrix.md │ ├── contract-theory.md │ ├── control-theory.md │ ├── conversion-funnel-dynamics.md │ ├── cooperative-principle.md │ ├── cultural-adaptation-theory.md │ ├── cultural-iceberg-model.md │ ├── customer-journey-mapping.md │ ├── data-visualization.md │ ├── default-mode-network.md │ ├── design-patterns.md │ ├── design-thinking-process.md │ ├── design-thinking.md │ ├── dialectical-reasoning.md │ ├── diffusion-of-innovation.md │ ├── discourse-analysis.md │ ├── double-loop-learning.md │ ├── dual-process-theory.md │ ├── ecosystem-modeling.md │ ├── edge-of-chaos.md │ ├── emergence-principle.md │ ├── emergence-theory.md │ ├── empathy-mapping.md │ ├── entropy-minimization.md │ ├── ethical-frameworks.md │ ├── evidence-evaluation.md │ ├── evidence-standards.md │ ├── evolutionary-algorithms.md │ ├── experimental-design.md │ ├── feedback-control-systems.md │ ├── feedback-loops.md │ ├── first-principles-thinking.md │ ├── flow-state-optimization.md │ ├── force-multipliers.md │ ├── form-follows-function.md │ ├── frame-semantics.md │ ├── framing-effect.md │ ├── game-theory-analysis.md │ ├── game-theory-matrix.md │ ├── goldilocks-principle.md │ ├── graph-theory.md │ ├── homeostasis.md │ ├── human-centered-design.md │ ├── hypothesis-testing.md │ ├── ideation-frameworks.md │ ├── incentive-alignment.md │ ├── information-theory.md │ ├── innovation-diffusion.md │ ├── intelligence-cycle.md │ ├── inversion-thinking.md │ ├── jobs-to-be-done.md │ ├── knowledge-spiral.md │ ├── knowledge-taxonomy.md │ ├── kolbs-learning-cycle.md │ ├── lean-principles.md │ ├── legacy-mental-models.md │ ├── legal-reasoning.md │ ├── legal-risk-assessment.md │ ├── liability-frameworks.md │ ├── market-mechanisms.md │ ├── market-timing-framework.md │ ├── markov-processes.md │ ├── mastery-learning.md │ ├── media-ecology.md │ ├── mental-models-one-page.md │ ├── mental-simulation.md │ ├── moral-imagination.md │ ├── mvp-filter.md │ ├── narrative-frameworks.md │ ├── narrative-theory.md │ ├── network-effects.md │ ├── neural-efficiency.md │ ├── neuroplasticity-principles.md │ ├── north-star-principle.md │ ├── occams-razor.md │ ├── ooda-loop.md │ ├── organizational-behavior.md │ ├── pareto-principle.md │ ├── peak-end-rule.md │ ├── performance-engineering.md │ ├── phase-transitions.md │ ├── plan.md │ ├── plan_progress.md │ ├── pragmatics.md │ ├── prediction-error.md │ ├── principle-of-proportionality.md │ ├── privacy-by-design.md │ ├── procedural-justice.md │ ├── progressive-disclosure.md │ ├── quality-control.md │ ├── rapid-prototyping.md │ ├── red-queen-hypothesis.md │ ├── red-team-thinking.md │ ├── regulatory-compliance.md │ ├── reliability-engineering.md │ ├── requirements-engineering.md │ ├── requisite-variety.md │ ├── resonance-principle.md │ ├── resource-flow-analysis.md │ ├── risk-assessment-triangle.md │ ├── ritual-practice-theory.md │ ├── roi-matrix.md │ ├── scale-free-networks.md │ ├── schema-theory.md │ ├── seci-model.md │ ├── second-order-cybernetics.md │ ├── self-organization.md │ ├── sensitive-dependence.md │ ├── service-design.md │ ├── shannon-weaver-model.md │ ├── signal-processing-theory.md │ ├── signal-vs-noise.md │ ├── small-world-networks.md │ ├── social-capital-theory.md │ ├── social-network-analysis.md │ ├── social-proof-framework.md │ ├── socratic-questioning.md │ ├── somatic-marker-hypothesis.md │ ├── speech-act-theory.md │ ├── stakeholder-ethics.md │ ├── statistical-modeling.md │ ├── statistical-thinking.md │ ├── storytelling-architecture.md │ ├── sustainability-frameworks.md │ ├── symbiosis-framework.md │ ├── systems-architecture.md │ ├── systems-ontology.md │ ├── terrain-advantage.md │ ├── trade-off-triangle.md │ ├── translation-theory.md │ ├── transparency-principle.md │ ├── user-experience-design.md │ ├── value-sensitive-design.md │ ├── virtue-ethics.md │ └── zettelkasten-method.md ├── reflexions │ ├── 2025-07-10-ai-and-desire.md │ ├── 2025-07-18-markdown-graph-as-context.md │ └── 2025-07-18-markdown-graph.md ├── social-content │ └── ai-cognitive-cliffs-thread.md ├── til │ ├── 2024-01-03 What is GGUF.md │ ├── 2024-02-05 PyOxidizer.md │ ├── 2024-02-25-how_to_export_a_model_to_gguf.md │ ├── 2024-02-26 How to fine tune a model with Lora and QLora.md │ ├── 2024-02-26-gpt_60_lines_of_code.md │ ├── 2024-02-27 use-poetry-with-python.md │ ├── 2024-02-28 unsloth.md │ ├── 2024-03-02 ollama_import_model.md │ ├── 2024-03-03 how_to_use_llm_command.md │ ├── 2024-03-04 how_to_transform_a_huggingface_model_to_gguf.md │ ├── 2024-03-04 llama_cpp_gguf_openai_server.md │ ├── 2024-03-05 how_list_s3_efficiently_using_spark.md │ ├── 2024-03-05 how_to_deduplicate_a_delta_table.md.md │ ├── 2024-03-07 create_index_ids_in_delta_table.md │ ├── 2024-03-13 how_to_use_openinterpreter.md │ ├── 2024-03-18 how_to_create_a_script_based_command.md │ ├── 2024-03-18- how_quantize_a_model_with_lamacpp.md │ ├── 2024-03-19 how_to_prepare_a_package_for_distribution.md │ ├── 2024-03-21_modelfile_zephyr.md │ ├── 2024-04-14_how_to_publish_to_homebrew.md │ ├── 2024-07-27-git-alias.md │ ├── 2024-07-30-call_http_api_from_databricks_notebook.md │ ├── 2024-07-31-running_a_llama_model_3_1_from_lama_cpp_on_mac_os.md │ ├── 2024-08-07_ux_micro_interractions.md │ ├── 2024-09-13-bitbucket-syncc.md │ ├── 2025-01-09-vscode-agent-mode-standard-tools.md │ ├── 2025-01-09-vscode-mcp-server-configuration.md │ ├── 2025-01-14-deploy-an-aws-stack-with-cdk.md │ ├── 2025-01-14-kamal-deploy-web-app-anywere.md │ ├── 2025-01-24-building-a-chat-interface-using-textual.md │ ├── 2025-01-24-self-installing-python-executables-with-uv.md │ ├── 2025-01-29-dependant-library-with-poetry.md │ ├── 2025-07-03-capture-illustration-style.md │ ├── 2025-07-03-image-generation-realistic.md │ ├── 2025-07-05-dotenv-usage.md │ ├── 2025-07-07-blocks-mcp-server-playbook-new.md │ ├── 2025-07-07-blocks-mcp-server-playbook.md │ ├── 2025-07-07-veo3-fast.md │ ├── 2025-07-09-dissecting-gpt4-coding-agent-prompt.md │ ├── 2025-07-09-pep621-uv.md │ ├── 2025-07-09-vscode-chat-mode-configuration.md │ ├── 2025-07-09-vscode-github-configuration-files.md │ ├── 2025-07-11-vscode-1.102.md │ ├── 2025-07-13-github-copilot-cli-aliases.md │ ├── 2025-07-20-macos-automator-quick-action-get-file-path.md │ ├── 2025-07-20-uv-python-project-layout.md │ ├── 2025-07-20-uv-python-workflows-fast-boring.md │ ├── README.md │ ├── _format_til.md │ ├── assets │ │ ├── Pasted image 20240228200803.png │ │ ├── Pasted image 20240731070802.png │ │ └── natural_image_375.png │ ├── capture-illustration-style.md │ ├── dotenv-usage.md │ ├── duckdb_insert │ │ ├── docker-compose.yml │ │ ├── generate.sh │ │ ├── generate_db.py │ │ ├── ingest.py │ │ ├── ingest.sh │ │ ├── ingest_local.sh │ │ ├── install.sh │ │ └── requirements.txt │ ├── git │ │ └── git.md │ ├── how_to_calulate_price_to_train_a_large_model │ │ ├── code │ │ │ └── generate_db.py │ │ └── how_to_calculate_price_to_train_a_llm.md │ ├── how_to_create_a_python_env │ │ └── README.md │ ├── mlfow │ │ ├── README.md │ │ └── example │ │ │ └── 01-wine │ │ │ └── train.py │ ├── openai_api │ │ ├── README.md │ │ └── demo │ │ │ ├── demo01.py │ │ │ └── demo02.py │ ├── package_management_conda_and_pip │ │ └── README.md │ └── poetry_a_python_best_friend │ │ └── README.md ├── tutorials │ ├── 2025-07-18-aime2507.11988v2.extracted.md │ ├── 2025-07-18-dynamic-multi-agent.md │ └── README.md └── x │ ├── 2025-07-11-mlops-book-announcement-thread.md │ ├── 2025-07-16-ai-cognitive-cliffs-thread.md │ └── README.md ├── prompts ├── README.md ├── business │ ├── human-writing.md │ ├── red-pill-business-builder.md │ ├── self-study.md │ └── study.md ├── people │ └── warren-buffet.md └── vscode │ └── gary.md ├── reference ├── 2025-ai-updates.md ├── README.md ├── agent_bench_2507.21504v1.md ├── articles.md ├── books.md ├── cloud-platforms │ └── cloud-providers.md ├── communities.md ├── core-technologies.md ├── courses.md ├── curated-x-accounts.md ├── datasets │ └── top-quality-dataset.md ├── genai-fundamentals │ ├── 2024-03-18 how_quantize_a_model.md │ ├── 2024-03-18_llm_data_acquisition_augmentation_technique.md │ ├── 2024-03-18_strategy_to_pretrain_a_model.md │ ├── 204-03-18_quantization_and_pruning.md │ └── README.md.md ├── mcp-comprehensive-guide.md ├── mcp-concise.md ├── mcp-presentation-setup.md ├── mcp-server-presentation.md ├── prompt-engineering-58-techniques-reference.md ├── prompt-templates.md ├── research-papers.md ├── research-papers │ └── README.md ├── technical-articles │ ├── 2024-03-06 the_raise_of_models_datalake.md │ ├── 2024-03-12 microsoft_aici.md │ ├── 2024-03-12_genai_business_use_cases.md │ ├── 2024-03-12_training_an_llm.md │ ├── 2024-05-29_mastering-prompt-engineering_us.md │ ├── 2024-05-29_mastering_prompt_engineering_fr.md │ ├── 2024-07-08-26_principles_for_prompting.md │ ├── 2024-11-21-from-specification-to-code-using-an-llm.md │ ├── 2025-06-29-context-management-llm-agents.md │ ├── 2025-07-09-ai-agent-paradox.md │ ├── 2025-10-26-agentic-platform │ │ ├── 01-the-crisis.md │ │ ├── 02-why-platforms.md │ │ ├── 03-platforms-compared.md │ │ ├── 04-protocols-architecture.md │ │ ├── 05-debundling-enterprise-systems.md │ │ ├── 06-implementation.md │ │ ├── 07-reality-check.md │ │ ├── 08-path-forward.md │ │ ├── README.md │ │ ├── agentic-platform-complete.docx │ │ ├── agentic-platform-complete.md │ │ └── appendix-architecture.md │ ├── 2025-10-26-quantalogic-platform │ │ ├── 01-the-crisis.md │ │ ├── 02-why-platforms.md │ │ ├── 03-platforms-compared.md │ │ ├── 04-protocols-architecture.md │ │ ├── 05-debundling-enterprise-systems.md │ │ ├── 06-implementation.md │ │ ├── 07-reality-check.md │ │ ├── 08-path-forward.md │ │ ├── README.md │ │ ├── agentic-platform-complete.md │ │ └── appendix-architecture.md │ └── README.md ├── techniques │ ├── analogical_reasoning │ │ ├── README.md │ │ ├── assets │ │ │ └── illustration.png │ │ └── code │ │ │ └── example01.py │ ├── assets │ │ ├── 1_pEH2LdPNwG9ryLrxb0VCTg.webp │ │ └── model_lake.webp │ ├── autogen │ │ ├── .cache │ │ │ ├── 41 │ │ │ │ └── cache.db │ │ │ └── 42 │ │ │ │ └── cache.db │ │ ├── README.md │ │ ├── examples │ │ │ ├── 01-agent.py │ │ │ ├── 02-agent.py │ │ │ ├── README.md │ │ │ └── agentchat_two_users.ipynb │ │ └── install.sh │ ├── board_of_experts │ │ ├── README.md │ │ ├── assets │ │ │ └── BOARDLAMA01.png │ │ └── samples │ │ │ └── 01_ask_board_expert.py │ ├── build_softwate_with_agents │ │ └── README.md │ ├── cai_vs_rhlf │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.jpeg │ ├── camel │ │ ├── README.md │ │ └── assets │ │ │ └── came02.jpeg │ ├── chain_of_code │ │ ├── README.md │ │ └── assets │ │ │ └── lamabus.png │ ├── chain_of_notes │ │ ├── README.md │ │ └── assets │ │ │ └── notes.png │ ├── chain_of_repairing │ │ ├── README.md │ │ └── assets │ │ │ └── figure2.png │ ├── chain_of_verification │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.png │ ├── chameleon │ │ ├── README.md │ │ └── assets │ │ │ └── chameleon.png │ ├── cocreate │ │ ├── README.md │ │ └── assets │ │ │ ├── figure1.png │ │ │ └── lamawrite02.jpeg │ ├── cod_summary │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.png │ ├── codechain │ │ ├── README.md │ │ └── assets │ │ │ └── LAMAC03.png │ ├── coe │ │ ├── README.md │ │ └── assets │ │ │ └── lama_coe01.jpeg │ ├── comprehensiveguide_rougebleumetrics │ │ ├── README.md │ │ └── examples │ │ │ ├── 01_rouge.py │ │ │ ├── 02_bleu.py │ │ │ ├── 03_meteor.py │ │ │ └── 04_bert_score.py │ ├── control_llms │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.jpeg │ ├── crack_ai_code │ │ ├── README.md │ │ └── assets │ │ │ └── hipster_lama.png │ ├── dessign_patterns_for_llm_applications │ │ ├── README.md │ │ ├── datapreprocessing_embeddings.excalidraw.png │ │ └── rag_01.excalidraw.png │ ├── dspy │ │ ├── README.md │ │ └── assets │ │ │ └── PIPE05.jpeg │ ├── embeddings │ │ ├── README.md │ │ └── assets │ │ │ ├── acivity_vs_sweetness.png │ │ │ ├── fruit_classifier.excalidraw.png │ │ │ ├── fruit_encoder.excalidraw.png │ │ │ ├── fruits.csv │ │ │ └── sweetness_vs_acidity.sketch │ ├── far │ │ ├── README.md │ │ └── assets │ │ │ └── LAMABOX02.jpeg │ ├── framework_for_llm_applications │ │ └── README.md │ ├── large_search_model │ │ ├── README.md │ │ └── assets │ │ │ └── figure1.png │ ├── linc │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.png │ ├── litellm │ │ └── sample.py │ ├── llama_index │ │ ├── 01_lama_example.py │ │ ├── README.md │ │ └── assets │ │ │ ├── 00_lama_lib.png │ │ │ ├── 01_chunking.excalidraw.png │ │ │ ├── 02_index_building.excalidraw.png │ │ │ └── 03_querying_the_index.excalidraw.png │ ├── llm_applications_use_cases │ │ └── README.md │ ├── llm_as_compiler_optimizer │ │ ├── README.md │ │ └── assets │ │ │ └── DRAG04.png │ ├── llm_as_optimizer │ │ ├── README.md │ │ └── assets │ │ │ └── dispatcher.png │ ├── llm_eisenhower │ │ ├── README.md │ │ └── assets │ │ │ └── eisenhower.png │ ├── mesh_gpt │ │ ├── README.md │ │ └── assets │ │ │ └── mesh_01.jpeg │ ├── meta_prompting │ │ └── README.md │ ├── poetry │ │ ├── assets │ │ │ └── poetry_article.webp │ │ └── poetry.md │ ├── prompt_agent │ │ └── README.md │ ├── prompt_engineering_patterns │ │ ├── PROMPTS.md │ │ ├── README.md │ │ └── wizardlama.png │ ├── qa_kg │ │ ├── README.md │ │ └── assets │ │ │ ├── kg01.jpeg │ │ │ └── kg01.webp │ ├── say_no │ │ ├── README.md │ │ └── assets │ │ │ └── figure1.png │ ├── screews │ │ ├── README.md │ │ ├── prompts │ │ │ └── cot_sample.txt │ │ └── sample │ │ │ ├── calculate-accuracy.py │ │ │ ├── re-sample.py │ │ │ ├── sample.py │ │ │ └── selection.py │ ├── self_cot │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.png │ ├── self_rag │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.jpeg │ ├── step_back │ │ ├── README.md │ │ ├── README_new.md │ │ ├── assets │ │ │ └── illustration.png │ │ └── code │ │ │ └── example01.py │ ├── supermind_idea │ │ ├── README.md │ │ └── assets │ │ │ └── illustration.png │ ├── symbolic_regression │ │ ├── README.md │ │ └── assets │ │ │ └── math.png │ ├── teacher_llm │ │ ├── assets │ │ │ └── illustration.jpeg │ │ └── teacher_llm.md │ ├── think_twice │ │ ├── README.md │ │ └── assets │ │ │ └── think01.png │ └── xot │ │ ├── assets │ │ └── figure.png │ │ └── xot.md ├── uncategorized │ ├── assets │ │ ├── Pasted image 20240226162014.png │ │ ├── Pasted image 20240228142802.png │ │ ├── Pasted image 20240309110546.png │ │ ├── Pasted image 20240309111312.png │ │ ├── Pasted image 20240309111554.png │ │ ├── Pasted image 20240309114901.png │ │ ├── Pasted image 20240309114915.png │ │ ├── Pasted image 20240309114959.png │ │ ├── Pasted image 20240309115032.png │ │ ├── Pasted image 20240309115051.png │ │ ├── Pasted image 20240309115110.png │ │ ├── Pasted image 20240310133859.png │ │ ├── Pasted image 20240310133908.png │ │ ├── Pasted image 20240310133958.png │ │ ├── Pasted image 20240310134006.png │ │ ├── Pasted image 20240310134024.png │ │ └── Pasted image 20240310134031.png │ └── zz_to_classify │ │ ├── Nomic Embedding.md │ │ ├── assets │ │ └── Pasted image 20240729062503.png │ │ ├── chat-with-mlx.md │ │ ├── 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