A Comprehensive Guide to Advanced Prompt Engineering for Next-Generation AI Agents: Strategies, Patterns, and Workflows for Building Intelligent, Autonomous AI Systems - Tapa blanda

Sinopsis

What if the future of AI wasn’t just about smarter answers, but about teaching machines how to reason, adapt, and act like true collaborators?
A Comprehensive Guide to Advanced Prompt Engineering for Next-Generation AI Agents is your step-by-step manual for mastering the strategies that turn large language models into intelligent, autonomous agents. This isn’t a beginner’s guide—it’s a practical, advanced resource for developers, researchers, and innovators who want to push beyond simple prompt-and-response systems.
Inside, you’ll learn how to craft powerful prompt structures that unlock deeper reasoning, integrate AI with external tools and APIs, and apply proven frameworks like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), and self-critique loops. You’ll also explore hands-on code examples and real-world applications that demonstrate how to build agents capable of planning, reflecting, and refining their decisions over time.
This guide will help you:

• Move beyond static prompts to dynamic reasoning workflows.
• Design self-improving, adaptive agents using advanced prompt strategies.
• Harness cutting-edge frameworks (LangChain, LlamaIndex, Semantic Kernel, and more).
• Apply safety, fairness, and governance practices to deploy AI responsibly.
• Gain practical, reusable patterns that speed up experimentation and development.

What makes this book different is its focus on the next generation of AI—agents that don’t just answer but truly act. By blending deep theoretical insights with real implementation examples, it equips you with both the knowledge and the tools to shape the future of AI.
If you’re ready to master advanced prompt engineering and build AI systems that think, adapt, and deliver at scale, this book is your essential guide.

"Sinopsis" puede pertenecer a otra edición de este libro.