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quickstart
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agents
Jeff Tang b4d027e005 README update 1 year ago
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AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb 3ad59e81d8 4 notebooks ported from 4 DLAI agent short courses using Llama 3 1 year ago
AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb 3ad59e81d8 4 notebooks ported from 4 DLAI agent short courses using Llama 3 1 year ago
Building_Agentic_RAG_with_Llamaindex_L1_Router_Engine.ipynb 3ad59e81d8 4 notebooks ported from 4 DLAI agent short courses using Llama 3 1 year ago
Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb 3ad59e81d8 4 notebooks ported from 4 DLAI agent short courses using Llama 3 1 year ago
README.md b4d027e005 README update 1 year ago

README.md

Quickstart Agents

This folder shows how to use Llama 3 and popular open source frameworks (LangChain, LlamaIndex, AutoGen) to quickly build Llama powered agent apps.

The following notebooks are ported from the agents short courses on Deeplearning.ai, all powered by Llama 3.

  1. Functions Tools and Agents with LangChain L1 Function Calling

  2. AI Agents in LangGraph L1 Build an Agent from Scratch

  3. Building Agentic RAG with Llamaindex L1 Router Engine

  4. AI Agentic Design Patterns with AutoGen L4 Tool Use and Conversational Chess