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Implementing Chains
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Lang Chain
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Introduction
Course Introduction
Building Blocks of LLM Apps
Building Blocks of an LLM Application
Prompts and LLM
LLM Context
LLM Response
History
Tips Tricks and Resources
Key Libraries
Key Libraries Demo
Tips and Tricks
Debugging LangChain Applications
Using Verbose Flag
Callbacks
Resources
Introduction to LCEL
Overview of LCEL
LCEL Demo 1
LCEL Demo 2
LCEL Demo 3
LCEL Demo 4
LCEL Demo 5
LCEL Demo 6
Adding Memory to LLM Apps
Adding Memory to LLM Apps
Demo Adding Short Term Memory
Exploring Configurable Parameters
Dealing with Memory
Performing Retrieval
Performing Retrieval
Loading PDFs
Loading Webpages
Chunking Documents
Generating Emeddings
Performing Semantic Search
RAG with PDFs
RAG with Webpages
Implementing Chains
Overview of Chains
Using Document Chain
Page
Using Tools
Understanding and Using tools
Using Wikipedia Tool
Using Tavily Search Tool
Using Yahoo Finance News Tool
Building a Custom Tool
Building Agents
What are Agents
Building an Agent with Search Tool
Adding Pyton REPL to Tool
Building a Real time Flight Agent
Conclusion
Conclusion
Interacting with LL Ms
Setting up Environment
Types of Language Models
Getting Started with LLMs
Messages in ChatModel
Messages in ChatModel Demo
Prompt Templates
Prompt Templates Demo
Few shot Prompt Templates
Parsing Model Output
Parsing Model Output Demo 1
Parsing Model Output Demo 2
Parsing Model Output Demo 3
Key Components of Lang Chain
Building Blocks of LangChain
Model IO
Memory
Retrieval
Chains
Tools
Agents
Overview of Lang Chain
What is LangChain
Why LangChain
Key Use Cases
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Chains
Using Document Chain
Overview of Chains
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