Python: Create a ReAct Agent from Scratch
In this video, we dive deep into building intelligent agents from scratch, without relying on popular frameworks like LangChain or LlamaIndex. Instead, we’ll use pure Python and Groq’s free LLMs, making it accessible for everyone!
Links:
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🚀 Zero-to-Hero AI Engineer Bootcamp: https://aibootcamp.dev/
Code: https://github.com/alejandro-ao/agent...
Buy me a coffee... or a beer (thanks!): http://link.alejandro-ao.com/support-me
🔍 Topics covered in this video:
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Understanding the ReAct pattern for AI agents
Utilizing Groq’s LLM to think and choose actions
Building multi-agent systems from scratch
Incorporating observations into the prompt in a continuous loop
Preparing to use advanced tools like LangChain, LlamaIndex, and CrewAI
Timestamps
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00:00 Intro
1:27 What is an Agent
3:05 What is a React Agent
10:29 Get a Groq API Key
12:41 Init Groq
15:15 Code the Agent Class
22:12 Overview of the System Prompt
27:06 Setup the Agent's Tools
29:20 Run the Agent Manually
38:08 Run the Agent in a Loop
54:59 Outro
Keywords: agents, LLM, OpenAI, multi-agent systems, Groq, CrewAI, AI agents, AI automation, React agent, chain of thought, artificial intelligence, LangChain, LlamaIndex, agentic, teams of AI agents, Anthropic, Llama3
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