9798243374880 - Understanding Vision-Language Models: How AI Learns to See, Read and Reason Across Images and Text de Huie, Gilbert (7 resultados)

Paperback. Condición: New.

Paperback. Condición: New.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Understanding Vision-Language Models: How AI Learns to See, Read and Reason Across Images and TextArtificial intelligence is no longer limited to words or images alone. Modern systems now learn to connect vision and language, allowing machines to describe images, answer visual questions, follow multimodal instructions, and reason across visual and textual information. This book offers a clear, structured, and practical guide to how these systems work and why they matter.Understanding Vision-Language Models takes you step by step through the foundations, architectures, training methods, evaluation strategies, and real-world applications of multimodal AI. You will learn how machines represent images, how language is encoded, how both are aligned in shared spaces, and how reasoning emerges from these connections. Each concept is explained in plain, precise language, making the book accessible to beginners while still delivering the depth and rigor experienced developers expect.Inside this book, you will explore how visual features become embeddings, how transformers and attention mechanisms connect language with images, how contrastive learning enables image-text matching, and how instruction tuning shapes model behavior. You will understand the strengths and limits of modern systems, how they are evaluated, and why grounding, robustness, and ethical alignment are critical for responsible deployment.The book goes beyond theory. It connects technical design with real-world impact across accessibility, healthcare, education, robotics, search, and decision support. You will see how vision-language models are used in practice, what can go wrong, and how to design systems that remain reliable, transparent, and human-centered.Whether you are a student, researcher, engineer, product designer, or technology leader, this book equips you with the knowledge to evaluate, build, and apply vision-language systems with confidence. You will not only understand what these models can do, but also when to trust them, when to question them, and how to use them responsibly. If you want to stay relevant in the future of artificial intelligence, you must understand how vision and language come together. This book gives you that understanding in a clear, practical, and professional way.Read it to strengthen your foundation.Use it to guide your projects.Apply it to build smarter, safer, and more capable AI systems.Start reading today and gain a true working understanding of the multimodal intelligence shaping the next generation of AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Understanding Vision-Language Models: How AI Learns to See, Read and Reason Across Images and TextArtificial intelligence is no longer limited to words or images alone. Modern systems now learn to connect vision and language, allowing machines to describe images, answer visual questions, follow multimodal instructions, and reason across visual and textual information. This book offers a clear, structured, and practical guide to how these systems work and why they matter.Understanding Vision-Language Models takes you step by step through the foundations, architectures, training methods, evaluation strategies, and real-world applications of multimodal AI. You will learn how machines represent images, how language is encoded, how both are aligned in shared spaces, and how reasoning emerges from these connections. Each concept is explained in plain, precise language, making the book accessible to beginners while still delivering the depth and rigor experienced developers expect.Inside this book, you will explore how visual features become embeddings, how transformers and attention mechanisms connect language with images, how contrastive learning enables image-text matching, and how instruction tuning shapes model behavior. You will understand the strengths and limits of modern systems, how they are evaluated, and why grounding, robustness, and ethical alignment are critical for responsible deployment.The book goes beyond theory. It connects technical design with real-world impact across accessibility, healthcare, education, robotics, search, and decision support. You will see how vision-language models are used in practice, what can go wrong, and how to design systems that remain reliable, transparent, and human-centered.Whether you are a student, researcher, engineer, product designer, or technology leader, this book equips you with the knowledge to evaluate, build, and apply vision-language systems with confidence. You will not only understand what these models can do, but also when to trust them, when to question them, and how to use them responsibly. If you want to stay relevant in the future of artificial intelligence, you must understand how vision and language come together. This book gives you that understanding in a clear, practical, and professional way.Read it to strengthen your foundation.Use it to guide your projects.Apply it to build smarter, safer, and more capable AI systems.Start reading today and gain a true working understanding of the multimodal intelligence shaping the next generation of AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.