Building Game Simulation Agents | Full Course

Описание: Welcome to PhiloAgents, where ancient philosophy meets modern AI. In this hands-on course, you'll build an AI agent simulation engine that brings historical philosophers to life in an interactive game environment.

The course is divided in 5 lessons:

❯ Lesson 1 - Introducing PhiloAgents architecture, as well as the 5 technologies we'll be using in this course: Groq, LangGraph, MongoDB, Opik and FastAPI.

❯ Lesson 2 - Building a PhiloAgent LangGraph using agentic RAG.

❯ Lesson 3 - Wrapping up our agentic RAG layer by implementing the short-term and long-term memory components.

❯ Lesson 4 - Expose the agent as a RESTful API (FastAPI + Websockets).

❯ Lesson 5 - Observability for RAG agents (part of LLMOps): evaluating agents, prompt monitoring, prompt versioning, etc.

Check out the code here:

💻 https://github.com/neural-maze/philoa...

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Check out Paul Iusztin's Substack and book here:

📩 Substack - https://decodingml.substack.com/
📖 "LLM Engineer's Handbook" - https://www.amazon.com/LLM-Engineers-...

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If you like this content, you can also follow me here:

📩 Substack - https://theneuralmaze.substack.com/
💼 LinkedIn - / migueloteropedrido
💻 GitHub - https://github.com/MichaelisTrofficus
🐦 Twitter - https://x.com/moteropedrido

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0:00 Introduction
4:42 Lesson 1: PhiloAgents Architecture
29:02 Lesson 2: LangGraph Workflow
1:00:43 Lesson 3: Agent Memory System
1:30:20 Lesson 4: FastAPI + Websockets
1:47:08 Lesson 5: LLMOps

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Carefree by Kevin MacLeod http://incompetech.com
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