Building Applications with AI Agents

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1760
□ Nhà xuất bản : O'Reilly Media
□ Tác giả : Michael Albada
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 9781098176501
□ Số trang : 352 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
Generative artificial intelligence has fundamentally altered the technological landscape, allowing organizations to tackle complex problems with unprecedented speed. We have moved beyond simple text generation into the era of AI agents—autonomous systems that can plan, reason, and use tools to achieve specific goals. "Building Applications with AI Agents: Designing and Implementing Multiagent Systems" serves as a comprehensive and indispensable guide for developers, data scientists, and AI architects who want to master this new frontier. Author Michael Albada, a seasoned expert with a background at industry giants like Uber and Microsoft, brings a research-backed yet highly practical perspective to the subject. The book begins by establishing a firm foundation, explaining what distinguishes foundation model-enabled agents from traditional software and basic LLM implementations. It dives deep into the four pillars of agent design: the "brain" (the underlying model), tools (APIs and code execution), memory (both short-term context and long-term retrieval), and planning (the ability to decompose tasks and self-correct). As the complexity of tasks increases, a single agent often reaches its limits. This is where multiagent systems become crucial. Albada explores various architectural patterns for multiagent collaboration, detailing how specialized agents can work together, provide feedback to one another, and orchestrate complex workflows. The book covers critical design trade-offs, such as centralized versus decentralized control, and provides frameworks for ensuring agents remain reliable and cost-effective. Beyond the technical code, the text addresses the operational realities of building AI agents. It provides a roadmap for moving from a conceptual prototype to a production-ready solution, covering essential topics like monitoring, evaluation, security, and human-in-the-loop oversight. Through detailed case studies and real-world examples, readers will see how agents are being deployed in fields ranging from automated research and coding assistants to cybersecurity and data analysis. By the end of this book, you will have the skills and knowledge to design, build, and deploy sophisticated AI systems that significantly enhance innovation and efficiency in any field.

□ 2. Tác giả
Michael Albada is a seasoned machine learning engineer with over nine years of experience designing, building, and deploying large-scale machine learning solutions at major tech firms including Uber, ServiceNow, and Microsoft. His expertise encompasses recommendation systems, geospatial modeling, natural language processing, and the development of large-scale multiagent systems for cybersecurity. He holds a B.A. from Stanford University, an M.Phil. from the University of Cambridge, and an M.S. from Georgia Tech, specializing in machine learning.