// AGENTIC LIGHTENING GUIDE

An introduction to Agentic Lightening, an open-source framework for optimizing AI agents with minimal code changes.

Explains the core concepts of Agentic Lightening, including LitAgent, AgentLightningServer, Trainer, and LightningStore.

Learn how to integrate existing AI agents from popular frameworks with Agentic Lightening for training and optimization.

Explains the fundamental concepts of rollouts and rewards in the Agentic Lightening framework for training AI agents.

An overview of advanced optimization algorithms used in AI agent training, focusing on Reinforcement Learning and Automatic Prompt Optimization.

Learn how to optimize a basic QA agent using Agentic Lightening's Automatic Prompt Optimization (APO) technique.

Learn how to enhance a LangChain agent with Reinforcement Learning using Agentic Lightening for better decision-making and tool usage in multi-step …

A comprehensive guide to further learning and resources for mastering Agentic Lightening, LLM agents, and related technologies.

Absolutely! Here’s the next chapter on “Working with Resources and Tracers” for your Agentic Lightening learning guide. +++ title = …