Building LLM Agents - PAL, ReAct, and LangChain Implementation Guide

Building LLM Agents - PAL, ReAct, and LangChain Implementation Guide

Donato Capitella via YouTube Direct link

- Implementing ReAct Operational Loop

7 of 11

7 of 11

- Implementing ReAct Operational Loop

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Building LLM Agents - PAL, ReAct, and LangChain Implementation Guide

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - Overview
  2. 2 - Setup Imports and API Keys
  3. 3 - PAL from Scratch
  4. 4 - LLM Chains with LangChain Expression Language
  5. 5 - Switching to Llama 3.1 TogetherAI and Mixtral 8x7B Groq
  6. 6 - ReAct Agents
  7. 7 - Implementing ReAct Operational Loop
  8. 8 - Other ReAct Formats JSON, XML, ...
  9. 9 - LangChain ReAct Agent
  10. 10 - OpenAI Function/Tool Calling via API
  11. 11 - Chat ReAct Agent for Conversations

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.