Isbn: 9789365898385 - building multimodal generative ai and agentic applications: shaping concept to code for the future of multimodal and advanced agentic genai applications (english edition) (18 risultati)

Condizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback or Softback. Condizione: New. Building Multimodal Generative AI and Agentic Applications: Shaping concept to code for the future of multimodal and advanced agentic GenAI applicatio. Book.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2025. paperback. . . . . .

Condizione: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

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Taschenbuch. Condizione: Neu. Neuware - Generative AI and agentic AI are reshaping how we interact with data, enabling intelligent systems that can reason, generate, and autonomously act across multiple modalities. From text and images to voice and structured data, these technologies are increasingly essential in enterprise and research applications today. This book offers a complete roadmap to mastering multimodal generative AI and agentic AI systems. It covers foundational concepts, vision-language models, retrieval-augmented generation, human-in-the-loop and multi-agent workflows, text-to-SQL, OCR, and hybrid AI integrations. Each chapter combines theory, practical guidance, code implementations, and real-world case studies, helping readers understand architectures, pipelines, and production-grade deployments.By the end of this book, readers will be capable of designing, implementing, and scaling robust multimodal and agentic AI systems. They will gain hands-on expertise in reasoning, generation, retrieval, agent orchestration, and Ops, equipping them to build production-ready AI applications and excel in their roles.WHAT YOU WILL LEARN? Understand multimodal generative AI and agentic AI systems.? Architecting RAG, vector DBs, embeddings, cross-encoders, and core agentic planning.? Build retrieval-augmented generation workflows efficiently.? Implement human-in-the-loop and multi-agent pipelines.? Apply text-to-SQL for real-time data queries.? Develop OCR solutions for images and documents.? Integrate traditional ML models with GenAI workflows.? Deploy production-grade AI with monitoring and observability.WHO THIS BOOK IS FORThis book is for AI enthusiasts, data scientists, ML engineers, and software developers with foundational Python and ML knowledge. It is ideal for tech leads, researchers, and enterprise architects aiming to build and scale multimodal, production-grade agentic AI systems.…

Paperback. Condizione: New.

Paperback. Condizione: Brand New. 464 pages. 7.50x1.05x9.25 inches. In Stock. This item is printed on demand.

Paperback. Condizione: new. Paperback. This book offers a complete roadmap to mastering multimodal generative AI and agentic AI systems. It covers foundational concepts, vision-language models, retrieval-augmented generation, human-in-the-loop and multi-agent workflows, text-to-SQL, OCR, and hybrid AI integrations. Each chapter combines theory, practical guidance, code implementations, and real-world case studies, helping readers understand architectures, pipelines, and production-grade deployments. Understand multimodal generative AI and agentic AI systems. Architecting RAG, vector DBs, embeddings, cross-encoders, and core agentic planning. Implement human-in-the-loop and multi-agent pipelines. Apply text-to-SQL for real-time data queries. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…