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Udemy - LangChain- Develop LLM powered applications with LangChain 2024-2
Course modified date: 2 Mar 2024
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Udemy - LangChain- Develop LLM powered applications with LangChain 2024-2
Course content
Sections:
12
•
Activities:
0
•
Resources:
57
- 001 Introduction
- 002 Course Structure + How to get the best of Udemy [PLEASE DO NOT SKIP]
- 003 What is LangChain
- 004 Course's Discord Server
- 001 Project Setup (Pycharm) recommend)
- 002 Project Setup (vscode)
- 003 Environment Variables and .env File
- 004 Your First LangChain application - Chaining a simple prompt
- 005 Quick Check In
- 001 Ice Breaker- What are we building here
- 002 Integrating Linkedin Data Processing - Part 1 - Scraping
- 003 Linkedin Data Processing - Part 2 - Agents Theory
- 004 Linkedin Data Processing- Part 3 Tools, AgentType & initialize_agent
- 005 Linkedin Data Processing- Part 4 Custom Agent Implementation & Testing
- 006 [Optional] Twitter Data Processing- Part 1- Scraping
- 007 [Optional] Twitter Data Processing- Part 2- Agents (Optional)
- 008 Output Parsers- Getting Ready to work with a Frontend
- 009 FullsStack App- Building our LLM powered by LangChain FullStack Application
- 001 What are we building ReAct AgentExecutor from scratch
- 002 Environment Setup + ReAct Algorithm overview
- 003 Defining Tools for our ReAct agent
- 004 ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution
- 005 AgentAction, AgentFinish, ReAct Loop
- 006 CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop
- 001 Theoretical Introduction to embeddings, Vectorstores & RetrievalQA chain (RAG)
- 002 LangChain classes review Pinecone, OpenAIEmbeddings, RetrievalQA, TextLoader
- 003 Medium Analyzer- Boilerplate Project Setup
- 004 Medium Analyzer- Implementation
- 005 Chat With Your PDF- FAISS Local Vectorstore
- 001 What are we building
- 002 Building an AI LangChain Chat Assistant- Vectorstore Pincone Ingestion
- 003 Building an AI LangChain Chat Assistant- RetrievalQA chain (prompt augmentation)
- 004 Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI)
- 005 Building an AI LangChain Chat Assistant- Memory & ConversationalRetrievalChain
- 001 What are we building (A slim Version of GPT Code-Interpreter)
- 002 Project Setup
- 003 Python Agent
- 004 CSV Agent
- /005 Wrapping Everything Router Agent + OpenAI function
- 001 LangChain Token Limitation Handeling Strategies
- 002 LangChain Memory Deepdive
- 001 The GIST of LLMs
- 002 What is a Prompt Composition of a formal prompt
- 003 Zero Shot Prompting
- 004 Few Shot Prompting
- 005 Chain of Thought Prompting
- 006 ReAct
- 007 Prompt Engineering Quick Tips
- 001 Have a technical issue WATCH THIS FIRST. I Promise this will help!
- 002 Tweet API- tweepy.errors.Forbidden 403 Forbidden
- 003 Pinecone AttributeError init is no longer a top-level attribute of pinecone
- 001 LLM Applications in Production
- 002 LLM Application Development landscape
- 003 Finished course Whats next!
- 001 LangChain Hub - Downloads prompt from the community
- 002 TextSplitting Playground
- 003 LangChain VS LlamaIndex