🚨BREAKING: Microsoft drops Agent Lightning Make AI Agents that work on the 1st try. 100% open source (Python...

🚨BREAKING: Microsoft drops Agent Lightning

Make AI Agents that work on the 1st try. 

100% open source (Python).

Let's dive in. 

1. Train Your Agents With Automatic Prompt Optimization

Agent-lightning provides a structured way to train your agents. Just like you train a machine learning model on data, you can train an agent on a task dataset. This could involve using Reinforcement Learning (RL) to teach it new behaviors or, as we'll do today, optimizing its prompts to make it more accurate and reliable.

2. Example: Train SQL Agent With Agent Lightning

Agent-lightning integrates seamlessly with various orchestration frameworks, including Agent Framework, AutoGen, CrewAI, LangGraph, and the OpenAI Agents SDK.

This example demonstrates a SQL Agent using LangGraph + Agent Lightning.

Learn more: https://microsoft.github.io/agent-lightning/stable/

I have one more thing before you go.

If you want to become a generative AI data scientist in 2025 ($200,000 career), then I'd like to help:

🚨WANT TO BECOME A GENERATIVE AI DATA SCIENTIST IN 2025 ($200,000 career)?

Discover how I built an AI Customer Segmentation Agent with Python:

- Scikit Learn
- K-Means
- LangChain
- LangGraph
- OpenAI

👉Register here (740+ Registered): https://learn.business-science.io/ai-register 

That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become a data scientist.

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