Gen AI Agents Handbook

Example Use Cases

• 1

  Understand and implement foundational generative AI concepts.

• 2

  Utilize advanced agent workflows, memory, and multi-agent systems.

• 3

  Integrate Model Context Protocol and Retrieval Augmented Generation techniques.

Description

This repository provides detailed documentation and tutorials on foundational concepts, core techniques, and advanced topics related to AI agents and generative AI. It covers fundamentals of large language models, responsible AI, prompting, function calling, fine-tuning, multi-agent systems, agent workflows, memory, observability, and evaluation. Additionally, it includes practical demos in JavaScript and explores the Model Context Protocol (MCP) and Retrieval Augmented Generation (RAG) for enhanced AI agent capabilities.