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[null,"1.","Record Nr.",null,"UNINA9911044024703321"]
[null,null,"Autore",null,"Alto Valentina"]
[null,null,"Titolo",null,"AI Agents in Practice : Design, Implement, and Scale Autonomous AI Systems for Production"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham : , : Packt Publishing, Limited, , 2025"]
[{"$nulls":4},"©2025"]
[null,null,"ISBN",null,"9781805801344"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (282 pages)"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Intelligent agents (Computer software)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Discover how to build autonomous AI agents tailored for real-world tasks with 'AI Agents in Practice.' This book guides you through creating and deploying AI systems that go beyond chatbots to solve complex problems, using leading frameworks and practical design patterns. What this Book will help me do Understand and implement core components of AI agents, such as memory, tool integration, and context management. Develop production-ready AI agents for diverse applications using frameworks like LangChain. Design and implement multi-agent systems to enable advanced collaboration and problem-solving. Apply ethical and responsible AI techniques, including monitoring and human oversight, in agent development. Optimize performance and scalability of AI agents for production use cases. Author(s) Valentina Alto is an accomplished AI engineer with years of experience in AI systems design and implementation. Valentina specializes in developing practical solutions utilizing large language models and contemporary frameworks for real-world applications. Through her writing, she conveys complex ideas in an accessible manner, and her goal is to empower AI developers and enthusiasts with the skills to create meaningful solutions. Who is it for? This book is perfect for AI engineers, data scientists, and software developers ready to go beyond foundational knowledge of large language models to implement advanced AI agents. It caters to professionals looking to build scalable solutions and those interested in ethical considerations of AI usage. Readers with a background in machine learning and Python "]
[{"$nulls":4},"will benefit most from the technical insights provided."]