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SKU/Artículo: AMZ-B0GFF3GK2L
THE AI AGENT HANDBOOK: Building Autonomous Systems with Python, LLMs, and Modern Frameworks
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.67 kg
0.67 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Master the Future of AI: Build Autonomous Agents that Reason, Plan, and ActAre you tired of building simple chatbots that only talk? The era of static "Prompt Engineering" is ending. The future belongs to Agentic AI—systems that don't just generate text, but actively perceive their environment, reason through complex problems, and execute code to get real work done.In The AI Agent Handbook, software engineer and technical writer Akash Kumar Nayak bridges the widening gap between the theoretical capabilities of Large Language Models (LLMs) and the practical engineering required to build robust, production-grade autonomous agents. This isn't just a lecture series; it is a workshop manual for the modern AI engineer.What You Will Build & Learn:Moving beyond basic API calls, this book takes you on a deep dive into the cognitive architectures that power the next generation of software. You will learn to:Architect the "Agentic Loop": Master the ReAct (Reason + Act) pattern and Chain-of-Thought reasoning to transform passive LLMs into active problem solvers.Wield Modern Frameworks: Stop guessing which tool to use. Get a comparative analysis and hands-on examples using LangChain, LangGraph, LlamaIndex, Microsoft Semantic Kernel, CrewAI, and AutoGen.Give Your AI "Hands": Implement Function Calling and Tool Use. Learn to define strict Pydantic schemas that force models like GPT-4o and Claude 3.5 Sonnet to output reliable, structured actions instead of unpredictable text.Build Infinite Memory: Overcome context window limits. Implement RAG (Retrieval-Augmented Generation), GraphRAG, and tiered memory architectures (Short-term vs. Long-term) to give your agents total recall.Orchestrate Multi-Agent Teams: Design systems where specialized agents (researchers, coders, reviewers) collaborate to solve complex tasks using patterns like Hierarchical Managers and Sequential Handoffs.Deploy with Confidence: Move from localhost to production with chapters on Observability (LangSmith), debugging loops, and implementing safety guardrails to prevent hallucinations.
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