// TAG: AGENTIC AI

Discover what Agentic Lightening is, why it's a game-changer for AI agent development, its key benefits, and a brief history. Learn how this Microsoft …

Dive into the fundamental building blocks of Agentic Lightening. Understand the roles of `LitAgent`, `Trainer`, and the `AgentLightningServer`, and …

Learn how to seamlessly integrate your existing AI agents, built with frameworks like LangChain, OpenAI Agent SDK, AutoGen, and CrewAI, into Agentic …

Delve into the critical concepts of 'rollouts' and 'rewards' in Agentic Lightening. Learn how agents execute tasks, how their interactions are …

Explore the advanced optimization algorithms supported by Agentic Lightening, including Reinforcement Learning (RL), Automatic Prompt Optimization …

Build a basic Question-Answering (QA) agent and leverage Agentic Lightening's capabilities for Automatic Prompt Optimization (APO) to enhance its …

Take your LangChain agent to the next level by integrating it with Agentic Lightening for Reinforcement Learning (RL) based optimization. This project …

A curated collection of resources to continue your journey with Agentic Lightening and the broader field of AI agents. Includes recommended courses, …

A comprehensive guide to Microsoft's Agentic Lightening framework, designed for absolute beginners and experienced developers to train and optimize AI …

A comprehensive, beginner-friendly guide to building intelligent AI agents in Java using Spring Boot, covering foundational concepts, practical …

A comprehensive, beginner-friendly textbook-style document on Model Context Protocol (MCP), focusing on creating MCP servers for AI agents and …

An in-depth exploration of advanced concepts, robust architectures, and real-world complex applications of agentic AI for experienced professionals, …

A comprehensive guide to building intelligent AI agents using LangChain and LangGraph, covering foundational concepts, tool integration, memory …

A comprehensive, beginner-friendly guide to understanding, building, and applying agentic AI for UI and backend systems using popular libraries like …

A comprehensive and practical guide to MLOps and LLMOps principles and practices for managing the lifecycle of Large Language Models and Agentic AI …