├── .gitignore ├── Building_Generative_AI_Applications_with_Gradio ├── L1_NLP_Tasks_interface(en).ipynb ├── L1_NLP_Tasks_interface(ko).ipynb ├── L2_Image_captioning_app(en).ipynb ├── L2_Image_captioning_app(ko).ipynb ├── L3_Image_generation_app(en).ipynb ├── L3_Image_generation_app(ko).ipynb ├── L4_Describe_and_generate_game(en).ipynb ├── L4_Describe_and_generate_game(ko).ipynb ├── L5_Chat_with_any_LLM(en).ipynb ├── L5_Chat_with_any_LLM(ko).ipynb └── README.md ├── Building_Systems_with_the_ChatGPT_API ├── L1.png ├── L1_Language Models, the Chat Format and Tokens(en).ipynb ├── L1_Language Models, the Chat Format and Tokens(ko).ipynb ├── L2_Classification(en).ipynb ├── L2_Classification(ko) .ipynb ├── L3_Moderation(en).ipynb ├── L3_Moderation(ko).ipynb ├── L4_Chain_of_Thought_Reasoning(en).ipynb ├── L4_Chain_of_Thought_Reasoning(ko).ipynb ├── L5_Chaining_Prompts(en).ipynb ├── L5_Chaining_Prompts(ko).ipynb ├── L6_Check_outputs(en).ipynb ├── L6_Check_outputs(ko).ipynb ├── L7_Evaluation(en).ipynb ├── L7_Evaluation(ko).ipynb ├── L8.png ├── L8_Evaluation_part1(en).ipynb ├── L8_Evaluation_part1(ko).ipynb ├── L9_Evaluation_part2(en).ipynb ├── L9_Evaluation_part2(ko).ipynb └── README.md ├── ChatGPT_Prompt_Engineering_for_Developers ├── README.md ├── l2-guidelines(en).ipynb ├── l2-guidelines(ko).ipynb ├── l3-iterative-prompt-development(en).ipynb ├── l3-iterative-prompt-development(ko).ipynb ├── l3.png ├── l4-summarizing(en).ipynb ├── l4-summarizing(ko).ipynb ├── l5-inferring(en).ipynb ├── l5-inferring(ko).ipynb ├── l6-transforming(en).ipynb ├── l6-transforming(ko).ipynb ├── l7-expanding(en).ipynb ├── l7-expanding(ko).ipynb ├── l7.png ├── l8-chatbot(en).ipynb ├── l8-chatbot(ko).ipynb └── l8.png ├── Evaluating_and_Debugging_Generative_AI ├── 01_intro_starter(en).ipynb ├── 01_intro_starter(ko).ipynb ├── 02_diffusion_training_starter(en).ipynb ├── 02_diffusion_training_starter(ko).ipynb ├── 03_diffusion_sampling_starter(en).ipynb ├── 03_diffusion_sampling_starter(ko).ipynb ├── 04_llm_eval_starter(en).ipynb ├── 05_train_llm_starter(en).ipynb ├── 05_train_llm_starter(ko).ipynb └── README.md ├── Finetuning_Large_Language_Models ├── 01_Why_finetuning_lab_student(en).ipynb ├── 01_Why_finetuning_lab_student(ko).ipynb ├── 02_Where_finetuning_fits_in_lab_student(en).ipynb ├── 02_Where_finetuning_fits_in_lab_student(ko).ipynb ├── 03_Instruction_tuning_lab_student(en).ipynb ├── 03_Instruction_tuning_lab_student(ko).ipynb ├── 04_Data_preparation_lab_student(en).ipynb ├── 04_Data_preparation_lab_student(ko).ipynb ├── 05_Training_lab_student(en).ipynb ├── 05_Training_lab_student(ko).ipynb ├── 06_Evaluation_lab_student(en).ipynb ├── 06_Evaluation_lab_student(ko).ipynb └── README.md ├── Function_Tools_and_Agents_with_LangChain ├── L1-OpenAI_Function_Calling(en).ipynb ├── L1-OpenAI_Function_Calling(ko).ipynb ├── L2-LangChain Expression Language (LCEL)(en).ipynb ├── L2-LangChain Expression Language (LCEL)(ko).ipynb ├── L3-OpenAI_Function_Calling_In_LangChain(en).ipynb ├── L3-OpenAI_Function_Calling_In_LangChain(ko).ipynb ├── L4-Tagging and Extraction Using OpenAI functions(en).ipynb ├── L4-Tagging and Extraction Using OpenAI functions(ko).ipynb ├── L5-Tools_and_Routing(en).ipynb ├── L5-Tools_and_Routing(ko).ipynb ├── L6-Conversational_Agent(en).ipynb ├── L6-Conversational_Agent(ko).ipynb └── README.md ├── Getting_Started_with_Mistral ├── L2_prompting_capabilities(en).ipynb ├── L2_prompting_capabilities(ko).ipynb ├── L3_model_selection(en).ipynb ├── L3_model_selection(ko).ipynb ├── L4_function_calling(en).ipynb ├── L4_function_calling(ko).ipynb ├── L5_basic_RAG(en).ipynb ├── L5_basic_RAG(ko).ipynb ├── L6_chat_ui(en).ipynb ├── L6_chat_ui(ko).ipynb ├── README.md ├── ai_jobs.txt ├── helper.py └── requirements.txt ├── How_Diffusion_Models_Work ├── L1_Sampling(en).ipynb ├── L1_Sampling(ko).ipynb ├── L2_Training(en).ipynb ├── L2_Training(ko).ipynb ├── L3_Context(en).ipynb ├── L3_Context(ko).ipynb ├── L4_FastSampling(en).ipynb ├── L4_FastSampling(ko).ipynb └── README.md ├── LangChain_Chat_with_Your_Data ├── 01_document_loading(en).ipynb ├── 01_document_loading(ko).ipynb ├── 02_document_splitting(en).ipynb ├── 02_document_splitting(ko).ipynb ├── 03_vectorstores_and_embeddings(en).ipynb ├── 03_vectorstores_and_embeddings(ko).ipynb ├── 04_retrieval(en).ipynb ├── 04_retrieval(ko).ipynb ├── 05_question_answering(en).ipynb ├── 05_question_answering(ko).ipynb ├── 06_chat(en).ipynb ├── 06_chat(ko).ipynb └── README.md ├── LangChain_for_LLM_Application_Development ├── L1_Model_prompt_parser(en).ipynb ├── L1_Model_prompt_parser(ko).ipynb ├── L2(1).png ├── L2(2).png ├── L2_Memory(en).ipynb ├── L2_Memory(ko).ipynb ├── L3_Chains(en).ipynb ├── L3_Chains(ko).ipynb ├── L4_QnA(en).ipynb ├── L4_QnA(ko).ipynb ├── L5_Evaluation(en).ipynb ├── L5_Evaluation(ko).ipynb ├── L6_Agents(en).ipynb ├── L6_Agents(ko).ipynb └── README.md ├── Large_Language_Models_with_Semantic_Search ├── L1-Keyword_Search(en).ipynb ├── L1-Keyword_Search(ko).ipynb ├── L2-Embeddings(en).ipynb ├── L2-Embeddings(ko).ipynb ├── L3-Dense_Retrieval(en).ipynb ├── L3-Dense_Retrieval(ko).ipynb ├── L4-Rerank(en).ipynb ├── L4-Rerank(ko).ipynb ├── L5-Generative_Search(en).ipynb ├── L5-Generative_Search(ko).ipynb └── README.md ├── Quantization_Fundamentals_with_Hugging_Face ├── L2_data_types(en).ipynb ├── L2_data_types(ko).ipynb ├── L3_models_with_different_data_types(en).ipynb ├── L3_models_with_different_data_types(ko).ipynb ├── L4_quantization_theory(en).ipynb ├── L4_quantization_theory(ko).ipynb ├── README.md └── helper.py └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | .ipynb_checkpoints 3 | __pycache__ -------------------------------------------------------------------------------- /Building_Generative_AI_Applications_with_Gradio/L1_NLP_Tasks_interface(en).ipynb: -------------------------------------------------------------------------------- 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