Idézet:Build a working AI agent that can reason, plan, and execute multi-step tasks!
LLM-powered AI agents are the next leap in applied AI, capable of reasoning and collaboration to achieve even complex, multi-step goals. Using new protocols like MCP and A2A, agents can use software tools, retrieve relevant knowledge, and adapt to feedback. This book guides you step by step in creating an AI agent from the ground up, with clear, detailed explanations you can follow to build your own custom assistants!
In Build an AI Agent (From Scratch) you will learn how to
Implement a ReAct (Thought → Action → Observation) loop
Use MCP to integrate tools calls into your agent's workflow
Agentic RAG for relevant responses
Create memory modules that store facts, context, and evolving goals
Enable agents to plan, reflect, and self-correct
Build specialized agents, including a code execution agent
Design multi-agent systems
In Build an AI Agent (From Scratch), bestselling author Jungjun Hur and AI expert Younghee Song guide you through creating a complete research assistant agent framework. You'll learn how agents function under the hood-all without hidden abstractions, black boxes, or framework lock-in. You will implement each piece as you develop a mental model of how agents really work.

Idézet:? Build_an_AI_Agent_(From_Scratch)_v2_MEAP.epub (Jungjun Hur and Younghee Song) (2025) (2.92 MB)
? Build_an_AI_Agent_(From_Scratch)_v2_MEAP.pdf (Jungjun Hur and Younghee Song) (6.17 MB)

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.