AI Book Club: Building Applications with AI Agents скачать в хорошем качестве

AI Book Club: Building Applications with AI Agents

Join events live: https://luma.com/ai-builders-and-lear... Decembers's book is "Building Applications with AI Agents"! This is a casual-style event. Not a structured presentation on topics. Sometimes, the discussion even drifts away from the chapters, but feel free to grab the mic to help steer it back. Feel free to join the discussion even if you have not read the book chapters! :) Want to discuss the contents during the reading week? Join the Slack Flyte MLOps Slack group and search for the "ai-reading-club" channel. https://slack.flyte.org/ ------------------------------------------------- About the book: Title: Building Applications with AI Agents Authors: Michael Albada Published: September 2025 https://learning.oreilly.com/library/... Chapters: 1. Introduction to Agents 2. Designing Agent Systems 3. User Experience Design for Agentic Systems 4. Tool Use 5. Orchestration 6. Knowledge and Memory 7. Learning in Agentic Systems 8. From One Agent to Many 9. Validation and Measurement 10. Monitoring in Production 11. Improvement Loops 12. Protecting Agentic Systems 13. Human-Agent Collaboration Book Description Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations. While these agents enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks, and deploying them remains a challenge for many organizations, especially as technology and research rapidly develops. This book is your indispensable guide through this intricate and fast-moving landscape. Author Michael Albada provides a practical and research-based approach to designing and implementing single- and multiagent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. Understand the distinct features of foundation model-enabled AI agents Discover the core components and design principles of AI agents Explore design trade-offs and implement effective multiagent systems Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field https://learning.oreilly.com/library/...