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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Michael Albada is a machine learning engineer with nine years of experience designing, building, and deploying large-scale machine learning solutions at Uber, ServiceNow, and Microsoft, with experience in recommendation systems, geospatial modeling, cybersecurity, natural language processing, large language models, and the development of large scale multi-agent systems for cybersecurity. He received his B.A. from Stanford University, M.Phil. from the University of Cambridge, and M.S. from Georgia Tech with a concentration in machine learning.
Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding 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 multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll:
Michael Albada is a seasoned machine learning engineer with expertise in deploying large-scale solutions for major tech firms including Uber, ServiceNow, and Microsoft. He holds degrees from Stanford University, the University of Cambridge, and Georgia Tech, specializing in machine learning.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: clickgoodwillbooks, Indianapolis, IN, U.S.A.
Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media. Codice articolo CSIV.1098176502.A
Quantità: 1 disponibili
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Very Good. Codice articolo mon0004067738
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Codice articolo 50067646-5
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 50067646-n
Quantità: Più di 20 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding 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 multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll:Understand the distinct features of foundation model-enabled AI agentsDiscover the core components and design principles of AI agentsExplore design trade-offs and implement effective multi-agent systemsDesign and deploy tailored AI solutions, enhancing efficiency and innovation in your field Generative AI has revolutionized how organizations tackle problems. 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 multi-agent systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781098176501
Quantità: 1 disponibili
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Building Applications with AI Agents: Designing and Implementing Multiagent Systems. Book. Codice articolo BBS-9781098176501
Quantità: 5 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 50067646
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781098176501
Quantità: 15 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781098176501
Quantità: 15 disponibili
Da: Rarewaves USA, HEBRON, KY, U.S.A.
Paperback. Condizione: New. Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding 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 multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll:Understand the distinct features of foundation model-enabled AI agentsDiscover the core components and design principles of AI agentsExplore design trade-offs and implement effective multi-agent systemsDesign and deploy tailored AI solutions, enhancing efficiency and innovation in your field. Codice articolo LU-9781098176501
Quantità: Più di 20 disponibili