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LLM Application with LangChain
Introduction
Introduction (3:12)
What is LangChain? (2:14)
Course's Discord Server (1:51)
The GIST of LangChain- Get started by with your "Hello World" chain
Project Setup (6:10)
Your First LangChain application - Chaining a simple prompt (11:41)
Ice Breaker Real World Generative AI application
Ice Breaker- What are we building here? (0:42)
Integrating Linkedin Data Processing - Part 1 - Scraping (12:54)
Linkedin Data Processing - Part 2 - Agents Theory (4:22)
Linkedin Data Processing- Part 3: Tools, AgentType & initialize_agent (5:23)
Linkedin Data Processing- Part 4: Custom Agent Implementation & Testing (19:29)
Twitter Data Processing- Part 1- Scraping (8:32)
Twitter Data Processing- Part 2- Agents (11:11)
Output Parsers- Getting Ready to work with a Frontend (11:23)
FullsStack App- Building our LLM powered by LangChain FullStack Application (6:34)
The GIST of Embeddings, Vector Databases and, VectorDBQA chain & RetrievalQA
Theoretical Introduction to embeddings, Vectorstores & VectorDBQA chain (13:43)
LangChain classes review: Pinecone, OpenAIEmbeddings, VectorDBQA, TextLoader (9:53)
Medium Analyzer- Boilerplate Project Setup (4:06)
Medium Analyzer- Implementation (13:31)
Building a documentation assistant (Embeddings, VectorDBs, RetrievalQA, Memory)
What are we building? (1:54)
Building an AI LangChain Chat Assistant- Vectorstore Pincone Ingestion (18:14)
Building an AI LangChain Chat Assistant- RetrievalQA chain (prompt augmentation) (13:16)
Building an AI LangChain Chat Assistant- "Frontend" with Streamlit (UI) (17:08)
Building an AI LangChain Chat Assistant- Memory & ConversationalRetrievalChain (11:42)
LangChain Theory
LangChain Memory Deepdive (20:53)
Prompt Engineering Theory
What is a Prompt? Composition of a formal prompt (2:55)
What are LLMs? (3:53)
Zero Shot Prompting (2:42)
Few Shot Prompting (8:26)
Chain of Thought Prompting (8:33)
ReAct (7:18)
Generated Knowledge Prompting (3:45)
Prompt Engineering Quick Tips (8:59)
Troubleshooting Section
Tweet API- tweepy.errors.Forbidden: 403 Forbidden (4:00)
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Theoretical Introduction to embeddings, Vectorstores & VectorDBQA chain
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