FareedKhan-dev/training-ai-agents
Training architecture for self-improving AI agents.
This project provides a comprehensive training framework for creating AI agents that can learn, adapt, and collaborate. It takes in domain-specific data, like medical research papers, and outputs refined, self-improving AI agents capable of complex tasks such as scientific research. Researchers and AI system developers who need to build sophisticated, multi-agent systems will find this useful.
Use this if you need to train a team of AI agents that can learn from feedback, collaborate, and improve their performance in dynamic environments like a research lab.
Not ideal if you are looking for a simple, single-agent solution or a tool for basic prompt engineering without advanced self-improvement capabilities.
Stars
54
Forks
24
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 04, 2025
Commits (30d)
0
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