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文档列表

03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/007 Asking and Getting Answers.mp4 89.0 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/008 Adding Memory (Chat History).mp4 80.8 MB
02 - Deep Dive into LangChain and Pinecone/003 Setting Up the Environment LangChain, Pinecone, and Python-dotenv.mp4 80.1 MB
05 - Project #3 Summarizing With LangChain and OpenAI/007 Summarizing Using the refine CombineDocumentChain.mp4 72.1 MB
02 - Deep Dive into LangChain and Pinecone/015 Splitting and Embedding Text Using LangChain.mp4 71.9 MB
02 - Deep Dive into LangChain and Pinecone/012 Introduction to Vector Databases.mp4 71.9 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/006 Embedding and Uploading to a Vector Database (Pinecone).mp4 71.9 MB
02 - Deep Dive into LangChain and Pinecone/008 Sequential Chains.mp4 71.4 MB
02 - Deep Dive into LangChain and Pinecone/017 Asking Questions (Similarity Search).mp4 68.0 MB
02 - Deep Dive into LangChain and Pinecone/013 Diving into Pinecone, Part 1.mp4 64.8 MB
02 - Deep Dive into LangChain and Pinecone/001 LangChain Demo.mp4 61.8 MB
05 - Project #3 Summarizing With LangChain and OpenAI/002 Summarizing Using a Basic Prompt.mp4 50.7 MB
05 - Project #3 Summarizing With LangChain and OpenAI/004 Summarizing Using StuffDocumentsChain.mp4 49.9 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/004 Reading, Chunking, and Embedding Data.mp4 49.5 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/005 Chunking Strategies and Splitting the Documents.mp4 49.0 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/007 Widgets, Part 3 slider, file_uploader, camera_input, image.mp4 48.6 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/006 Widgets, Part 2 checkbox, radio, select.mp4 45.5 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/003 Creating the Sidebar.mp4 45.1 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/002 Introduction to Streamlit.mp4 44.5 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/003 Loading Different Document Formats.mp4 43.8 MB
02 - Deep Dive into LangChain and Pinecone/007 Simple Chains.mp4 43.2 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/004 Public and Private Service Loaders.mp4 42.5 MB
05 - Project #3 Summarizing With LangChain and OpenAI/003 Summarizing using Prompt Templates.mp4 41.9 MB
02 - Deep Dive into LangChain and Pinecone/016 Inserting the Embeddings into a Pinecone Index.mp4 41.0 MB
05 - Project #3 Summarizing With LangChain and OpenAI/005 Summarizing Large Documents Using map_reduce.mp4 39.6 MB
05 - Project #3 Summarizing With LangChain and OpenAI/009 Summarizing Using LangChain Agents.mp4 39.3 MB
05 - Project #3 Summarizing With LangChain and OpenAI/006 map_reduce With Custom Prompts.mp4 38.5 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/001 Project Introduction.mp4 34.8 MB
02 - Deep Dive into LangChain and Pinecone/006 Prompt Templates.mp4 34.8 MB
02 - Deep Dive into LangChain and Pinecone/014 Diving into Pinecone, Part 2.mp4 33.6 MB
02 - Deep Dive into LangChain and Pinecone/004 LLM Models (Wrappers) GPT-3.mp4 31.1 MB
05 - Project #3 Summarizing With LangChain and OpenAI/008 refine With Custom Prompts.mp4 30.0 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/001 Project Introduction and Library Installation.mp4 29.7 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/003 Streamlit Main Concepts.mp4 28.7 MB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/002 Loading Your Custom (Private) PDF Documents.mp4 28.4 MB
02 - Deep Dive into LangChain and Pinecone/005 ChatModels GPT-3.5-Turbo and GPT-4.mp4 26.1 MB
02 - Deep Dive into LangChain and Pinecone/010 LangChain Agents in Action.mp4 25.9 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/002 Defining Functions.mp4 24.7 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/006 Saving the Chat History.mp4 24.5 MB
07 - [Appendix] Python Programming/007 Working with Dictionaries.mp4 23.6 MB
07 - [Appendix] Python Programming/008 JSON Data Serialization.mp4 22.1 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/004 Displaying Data on the Screen st.write() and Magic.mp4 21.6 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/012 Session State.mp4 20.4 MB
01 - Getting Started/001 How to Get the Most Out of This Course.mp4 19.9 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/007 Clearing Session State History Using Callback Functions.mp4 19.9 MB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/005 Asking Questions and Getting Answers.mp4 19.3 MB
07 - [Appendix] Python Programming/011 Assignment Answer JSON and RequestsREST API.mp4 18.5 MB
07 - [Appendix] Python Programming/009 JSON Data Deserialization.mp4 18.0 MB
07 - [Appendix] Python Programming/004 List Slicing and Iteration.mp4 17.7 MB
02 - Deep Dive into LangChain and Pinecone/009 Introduction to LangChain Agents.mp4 17.6 MB
07 - [Appendix] Python Programming/006 List Comprehension - Part 2.mp4 16.2 MB
02 - Deep Dive into LangChain and Pinecone/002 Introduction to LangChain.mp4 15.4 MB
07 - [Appendix] Python Programming/003 While and break Statements.mp4 14.7 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/013 Callbacks.mp4 14.3 MB
07 - [Appendix] Python Programming/005 List Comprehension - Part 1.mp4 13.8 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/009 Layout Columns.mp4 13.3 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/010 Layout Expander.mp4 10.6 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/005 Widgets, Part 1 text_input, number_input, button.mp4 10.6 MB
05 - Project #3 Summarizing With LangChain and OpenAI/001 Project Introduction.mp4 10.2 MB
07 - [Appendix] Python Programming/002 While and continue Statements.mp4 7.8 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/011 Displaying a Progress Bar.mp4 7.5 MB
07 - [Appendix] Python Programming/010 Assignment JSON and RequestsREST API.mp4 5.4 MB
02 - Deep Dive into LangChain and Pinecone/011 Short Recap of Embeddings.mp4 4.9 MB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/008 Layout Sidebar.mp4 3.4 MB
07 - [Appendix] Python Programming/007 Working with Dictionaries_en.srt 10.7 kB
02 - Deep Dive into LangChain and Pinecone/003 Setting Up the Environment LangChain, Pinecone, and Python-dotenv_en.srt 10.3 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/006 Embedding and Uploading to a Vector Database (Pinecone)_en.srt 10.1 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/008 Adding Memory (Chat History)_en.srt 9.4 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/007 Asking and Getting Answers_en.srt 9.4 kB
02 - Deep Dive into LangChain and Pinecone/015 Splitting and Embedding Text Using LangChain_en.srt 9.0 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/012 Session State_en.srt 8.9 kB
02 - Deep Dive into LangChain and Pinecone/013 Diving into Pinecone, Part 1_en.srt 8.9 kB
02 - Deep Dive into LangChain and Pinecone/012 Introduction to Vector Databases_en.srt 8.7 kB
02 - Deep Dive into LangChain and Pinecone/014 Diving into Pinecone, Part 2_en.srt 8.7 kB
02 - Deep Dive into LangChain and Pinecone/002 Introduction to LangChain_en.srt 8.3 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/007 Widgets, Part 3 slider, file_uploader, camera_input, image_en.srt 8.0 kB
02 - Deep Dive into LangChain and Pinecone/008 Sequential Chains_en.srt 7.8 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/005 Chunking Strategies and Splitting the Documents_en.srt 7.7 kB
02 - Deep Dive into LangChain and Pinecone/017 Asking Questions (Similarity Search)_en.srt 7.6 kB
05 - Project #3 Summarizing With LangChain and OpenAI/007 Summarizing Using the refine CombineDocumentChain_en.srt 7.5 kB
02 - Deep Dive into LangChain and Pinecone/016 Inserting the Embeddings into a Pinecone Index_en.srt 7.5 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/002 Loading Your Custom (Private) PDF Documents_en.srt 7.2 kB
08 - BONUS SECTION/002 BONUS THANK YOU GIFT!.html 7.2 kB
07 - [Appendix] Python Programming/006 List Comprehension - Part 2_en.srt 6.8 kB
07 - [Appendix] Python Programming/008 JSON Data Serialization_en.srt 6.7 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/006 Widgets, Part 2 checkbox, radio, select_en.srt 6.6 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/001 Project Introduction_en.srt 6.6 kB
05 - Project #3 Summarizing With LangChain and OpenAI/005 Summarizing Large Documents Using map_reduce_en.srt 6.4 kB
02 - Deep Dive into LangChain and Pinecone/001 LangChain Demo_en.srt 6.4 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/013 Callbacks_en.srt 6.3 kB
02 - Deep Dive into LangChain and Pinecone/007 Simple Chains_en.srt 6.3 kB
07 - [Appendix] Python Programming/005 List Comprehension - Part 1_en.srt 6.2 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/003 Streamlit Main Concepts_en.srt 6.2 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/006 Saving the Chat History_en.srt 6.1 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/004 Reading, Chunking, and Embedding Data_en.srt 6.1 kB
07 - [Appendix] Python Programming/004 List Slicing and Iteration_en.srt 6.1 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/003 Creating the Sidebar_en.srt 6.1 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/001 Project Introduction and Library Installation_en.srt 6.1 kB
07 - [Appendix] Python Programming/003 While and break Statements_en.srt 6.1 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/004 Displaying Data on the Screen st.write() and Magic_en.srt 5.8 kB
05 - Project #3 Summarizing With LangChain and OpenAI/004 Summarizing Using StuffDocumentsChain_en.srt 5.6 kB
02 - Deep Dive into LangChain and Pinecone/010 LangChain Agents in Action_en.srt 5.5 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/002 Defining Functions_en.srt 5.4 kB
02 - Deep Dive into LangChain and Pinecone/004 LLM Models (Wrappers) GPT-3_en.srt 5.4 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/003 Loading Different Document Formats_en.srt 5.4 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/005 Asking Questions and Getting Answers_en.srt 5.4 kB
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/007 Clearing Session State History Using Callback Functions_en.srt 5.4 kB
05 - Project #3 Summarizing With LangChain and OpenAI/002 Summarizing Using a Basic Prompt_en.srt 5.2 kB
07 - [Appendix] Python Programming/009 JSON Data Deserialization_en.srt 5.1 kB
05 - Project #3 Summarizing With LangChain and OpenAI/009 Summarizing Using LangChain Agents_en.srt 5.1 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/002 Introduction to Streamlit_en.srt 5.0 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/005 Widgets, Part 1 text_input, number_input, button_en.srt 4.9 kB
05 - Project #3 Summarizing With LangChain and OpenAI/006 map_reduce With Custom Prompts_en.srt 4.8 kB
05 - Project #3 Summarizing With LangChain and OpenAI/008 refine With Custom Prompts_en.srt 4.6 kB
02 - Deep Dive into LangChain and Pinecone/006 Prompt Templates_en.srt 4.5 kB
05 - Project #3 Summarizing With LangChain and OpenAI/003 Summarizing using Prompt Templates_en.srt 4.5 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/009 Layout Columns_en.srt 4.5 kB
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/004 Public and Private Service Loaders_en.srt 4.4 kB
07 - [Appendix] Python Programming/002 While and continue Statements_en.srt 4.3 kB
02 - Deep Dive into LangChain and Pinecone/005 ChatModels GPT-3.5-Turbo and GPT-4_en.srt 3.7 kB
07 - [Appendix] Python Programming/011 Assignment Answer JSON and RequestsREST API_en.srt 3.7 kB
02 - Deep Dive into LangChain and Pinecone/009 Introduction to LangChain Agents_en.srt 3.7 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/011 Displaying a Progress Bar_en.srt 3.1 kB
01 - Getting Started/001 How to Get the Most Out of This Course_en.srt 2.5 kB
02 - Deep Dive into LangChain and Pinecone/011 Short Recap of Embeddings_en.srt 2.5 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/010 Layout Expander_en.srt 2.2 kB
07 - [Appendix] Python Programming/010 Assignment JSON and RequestsREST API_en.srt 2.1 kB
05 - Project #3 Summarizing With LangChain and OpenAI/001 Project Introduction_en.srt 2.0 kB
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/008 Layout Sidebar_en.srt 1.9 kB
01 - Getting Started/002 Join My Private Community!.html 959 Bytes
07 - [Appendix] Python Programming/001 README.html 791 Bytes
08 - BONUS SECTION/001 Congratulations.html 606 Bytes
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/001 Section Resources.html 604 Bytes
01 - Getting Started/003 Course Resources.html 590 Bytes
06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/014 What's Next.html 244 Bytes
02 - Deep Dive into LangChain and Pinecone/external-links.txt 207 Bytes
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/external-links.txt 158 Bytes
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/001 Chroma-and-hnswlib-Errror.url 147 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
02 - Deep Dive into LangChain and Pinecone/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
05 - Project #3 Summarizing With LangChain and OpenAI/0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
0. Websites you may like/[CourseClub.Me].url 122 Bytes
02 - Deep Dive into LangChain and Pinecone/0. Websites you may like/[CourseClub.Me].url 122 Bytes
05 - Project #3 Summarizing With LangChain and OpenAI/0. Websites you may like/[CourseClub.Me].url 122 Bytes
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/external-links.txt 111 Bytes
05 - Project #3 Summarizing With LangChain and OpenAI/external-links.txt 111 Bytes
03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/001 Project-Resources.url 108 Bytes
05 - Project #3 Summarizing With LangChain and OpenAI/001 Project-Resources.url 108 Bytes
02 - Deep Dive into LangChain and Pinecone/003 Python-dotenv.url 66 Bytes
02 - Deep Dive into LangChain and Pinecone/002 LangChain-Documentation.url 63 Bytes
02 - Deep Dive into LangChain and Pinecone/013 Pinecone-Documentation.url 62 Bytes
04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/001 requirements.txt 59 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes
02 - Deep Dive into LangChain and Pinecone/0. Websites you may like/[GigaCourse.Com].url 49 Bytes
05 - Project #3 Summarizing With LangChain and OpenAI/0. Websites you may like/[GigaCourse.Com].url 49 Bytes

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