🔥 Matt Dancho (Business Science) 🔥 · @mdancho84

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

View this X/Twitter post from @mdancho84 published on 2025年11月5日 下午12:33. This post contains 4 images.

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View this X/Twitter post from @mdancho84 published on 2025年11月5日 下午12:33. This post contains 4 images.

🚨BREAKING: Microsoft drops Agent Lightning

Make AI Agents that work on the 1st try. 

100% open source (Python).

Let's dive in. 
🔥 Matt Dancho (Business Science) 🔥 media
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.
🔥 Matt Dancho (Business Science) 🔥 media
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.

🔥 Matt Dancho (Business Science) 🔥 media
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 
🔥 Matt Dancho (Business Science) 🔥 media
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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