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Augment your LLM Using Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) - Introduced by Facebook AI Research in 2020, is an architecture used to optimize the output of an LLM with dynamic, domain specific data without the need of retraining the model.

Free
1 Hour
Advanced

Building RAG Agents with LLMs

The evolution and adoption of large language models (LLMs) have been nothing short of revolutionary, with retrieval-based systems at the forefront of this technological leap.

Free
1 Hour
Advanced

AI Agents in LangGraph

Learn about LangGraph’s components and how they enable the development, debugging, and maintenance of AI agents.

Free
1 Hour
Beginner

Function-Calling and Data Extraction with LLMs

Learn to extend LLMs with custom functionality via function-calling, enabling them to form calls to external functions.

Free
1 Hour
Intermediate

Learn AI Agents

Learn how to build LLM-powered agents that can do multi-step reasoning and interact with its environment via functions and APIs.

Free
2 Hours
Intermediate

Build AI Apps with LangChain.js

Understand the LangChain library for AI Application Development.

Free
2 Hours
Beginner