[FreeCourseSite.com] Udemy - Learn LangChain, Pinecone & OpenAI Build Next-Gen LLM Apps

•  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