Description
SHIPS WITHIN 1-2 WEEKSÂ
Author Micheal Lanham combines cutting-edge academic research with hands-on experience to help you:
- Understand and implement AI agent behavior patterns
- Design and deploy production-ready intelligent agents
- Leverage the OpenAI Assistants API and complementary tools
- Implement robust knowledge management and memory systems
- Create self-improving agents with feedback loops
- Orchestrate collaborative multi-agent systems
- Enhance agents with speech and vision capabilities
You won’t find toy examples or fragile assistants that require constant supervision. AI Agents in Action teaches you to build trustworthy AI capable of handling high-stakes negotiations. You’ll master prompt engineering to create agents with distinct personas and profiles, and develop multi-agent collaborations that thrive in unpredictable environments. Beyond just learning a new technology, you’ll discover a transformative approach to problem-solving.
about the technology
Most production AI systems require many orchestrated interactions between the user, AI models, and a wide variety of data sources. AI agents capture and organize these interactions into autonomous components that can process information, make decisions, and learn from interactions behind the scenes. This book will show you how to create AI agents and connect them together into powerful multi-agent systems.
about the book
In AI Agents in Action, you’ll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You’ll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you’ll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.
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