ai-agents-for-beginners and training-ai-agents

These two tools are complements, as the introductory lessons offered by A could be used to learn how to implement the self-improving training architecture described in B.

Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 8/25
Maturity 13/25
Community 20/25
Stars: 53,826
Forks: 18,688
Downloads:
Commits (30d): 117
Language: Jupyter Notebook
License: MIT
Stars: 54
Forks: 24
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

About ai-agents-for-beginners

microsoft/ai-agents-for-beginners

12 Lessons to Get Started Building AI Agents

This course helps developers understand and implement AI Agents into their applications. It provides detailed lessons on the fundamentals of building AI Agents. The course includes written explanations and Python code samples, guiding developers from basic concepts to practical application.

AI development software engineering AI agent building Azure development application development

About training-ai-agents

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.

AI-agent-training multi-agent-systems reinforcement-learning scientific-research-automation adaptive-AI

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