| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/007 Asking and Getting Answers.mp4 | 84.85 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/008 Adding Memory (Chat History).mp4 | 77.03 MB |
| 02 - Deep Dive into LangChain and Pinecone/003 Setting Up the Environment LangChain, Pinecone, and Python-dotenv.mp4 | 76.36 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/007 Summarizing Using the refine CombineDocumentChain.mp4 | 68.74 MB |
| 02 - Deep Dive into LangChain and Pinecone/015 Splitting and Embedding Text Using LangChain.mp4 | 68.6 MB |
| 02 - Deep Dive into LangChain and Pinecone/012 Introduction to Vector Databases.mp4 | 68.58 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/006 Embedding and Uploading to a Vector Database (Pinecone).mp4 | 68.55 MB |
| 02 - Deep Dive into LangChain and Pinecone/008 Sequential Chains.mp4 | 68.13 MB |
| 02 - Deep Dive into LangChain and Pinecone/017 Asking Questions (Similarity Search).mp4 | 64.9 MB |
| 02 - Deep Dive into LangChain and Pinecone/013 Diving into Pinecone, Part 1.mp4 | 61.8 MB |
| 02 - Deep Dive into LangChain and Pinecone/001 LangChain Demo.mp4 | 58.93 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/002 Summarizing Using a Basic Prompt.mp4 | 48.36 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/004 Summarizing Using StuffDocumentsChain.mp4 | 47.63 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/004 Reading, Chunking, and Embedding Data.mp4 | 47.25 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/005 Chunking Strategies and Splitting the Documents.mp4 | 46.71 MB |
| 06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/007 Widgets, Part 3 slider, file_uploader, camera_input, image.mp4 | 46.37 MB |
| 06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/006 Widgets, Part 2 checkbox, radio, select.mp4 | 43.37 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/003 Creating the Sidebar.mp4 | 43.01 MB |
| 06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/002 Introduction to Streamlit.mp4 | 42.47 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/003 Loading Different Document Formats.mp4 | 41.73 MB |
| 02 - Deep Dive into LangChain and Pinecone/007 Simple Chains.mp4 | 41.23 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/004 Public and Private Service Loaders.mp4 | 40.53 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/003 Summarizing using Prompt Templates.mp4 | 39.91 MB |
| 02 - Deep Dive into LangChain and Pinecone/016 Inserting the Embeddings into a Pinecone Index.mp4 | 39.14 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/005 Summarizing Large Documents Using map_reduce.mp4 | 37.81 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/009 Summarizing Using LangChain Agents.mp4 | 37.49 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/006 map_reduce With Custom Prompts.mp4 | 36.67 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/001 Project Introduction.mp4 | 33.18 MB |
| 02 - Deep Dive into LangChain and Pinecone/006 Prompt Templates.mp4 | 33.17 MB |
| 02 - Deep Dive into LangChain and Pinecone/014 Diving into Pinecone, Part 2.mp4 | 32.05 MB |
| 02 - Deep Dive into LangChain and Pinecone/004 LLM Models (Wrappers) GPT-3.mp4 | 29.7 MB |
| 05 - Project #3 Summarizing With LangChain and OpenAI/008 refine With Custom Prompts.mp4 | 28.64 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/001 Project Introduction and Library Installation.mp4 | 28.28 MB |
| 06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/003 Streamlit Main Concepts.mp4 | 27.38 MB |
| 03 - Project #1 Question-Answering Application on Your Custom (or Private) Documents/002 Loading Your Custom (Private) PDF Documents.mp4 | 27.12 MB |
| 02 - Deep Dive into LangChain and Pinecone/005 ChatModels GPT-3.5-Turbo and GPT-4.mp4 | 24.9 MB |
| 02 - Deep Dive into LangChain and Pinecone/010 LangChain Agents in Action.mp4 | 24.69 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/002 Defining Functions.mp4 | 23.55 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/006 Saving the Chat History.mp4 | 23.4 MB |
| 07 - [Appendix] Python Programming/007 Working with Dictionaries.mp4 | 22.46 MB |
| 07 - [Appendix] Python Programming/008 JSON Data Serialization.mp4 | 21.07 MB |
| 06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/004 Displaying Data on the Screen st.write() and Magic.mp4 | 20.57 MB |
| 06 - [Appendix] Creating Web Interfaces for LLM Applications Using Streamlit/012 Session State.mp4 | 19.45 MB |
| 01 - Getting Started/001 How to Get the Most Out of This Course.mp4 | 19 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/007 Clearing Session State History Using Callback Functions.mp4 | 18.95 MB |
| 04 - Project #2 Building a Front-End for the Question-Answering App Using Streamlit/005 Asking Questions and Getting Answers.mp4 | 18.43 MB |
| 07 - [Appendix] Python Programming/011 Assignment Answer JSON and RequestsREST API.mp4 | 17.68 MB |
| 07 - [Appendix] Python Programming/009 JSON Data Deserialization.mp4 | 17.15 MB |
| 07 - [Appendix] Python Programming/004 List Slicing and Iteration.mp4 | 16.87 MB |
| 02 - Deep Dive into LangChain and Pinecone/009 Introduction to LangChain Agents.mp4 | 16.82 MB |