Mastering Vision LLMs (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
Condición: Nuevo
EUR 33,35
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. What if you could build AI systems that see, understand, reason, and interact with the world like never before?The era of single-purpose AI is ending. Multimodal intelligence is transforming how machines process information by combining vision, language, audio, and reasoning into unified systems capable of solving complex real-world problems. From intelligent assistants and autonomous agents to advanced image understanding and edge AI applications, multimodal AI is rapidly becoming the foundation of the next generation of software.Multimodal AI Engineering is a practical, hands-on guide designed to help developers, machine learning engineers, data scientists, AI practitioners, and technology professionals build production-ready multimodal systems using modern tools, frameworks, and architectures. Rather than focusing on theory alone, this book takes you through the complete lifecycle of designing, training, fine-tuning, optimizing, deploying, and scaling intelligent AI applications that can process and reason across multiple data modalities.Inside this book, you will learn how to: - Understand the foundations of multimodal intelligence and modern AI architectures- Build powerful vision-language systems using state-of-the-art models- Prepare, structure, and manage datasets for multimodal training- Fine-tune large models efficiently with LoRA and QLoRA techniques- Implement Retrieval-Augmented Generation (RAG) for multimodal applications- Develop intelligent agents capable of reasoning and interacting with external tools- Optimize AI systems for performance, scalability, and cost efficiency- Deploy multimodal workloads using Docker, Kubernetes, and cloud-native infrastructure- Run vision AI models on edge devices and resource-constrained environments- Design secure, reliable, and production-ready AI systemsWhat makes this book different is its strong emphasis on real-world implementation. Every chapter is focused on practical engineering workflows, modern deployment strategies, optimization techniques, and industry-proven best practices used to build scalable AI applications. Instead of stopping at model training, you'll learn how to bridge the gap between research and production, enabling you to create systems that deliver measurable value in real environments.Whether you're developing intelligent business applications, computer vision platforms, AI-powered assistants, robotics solutions, or next-generation multimodal products, this book provides the knowledge, tools, and practical guidance needed to move from experimentation to deployment with confidence.The future of AI belongs to systems that can understand the world through multiple forms of information. Start building those systems today and gain the skills needed to thrive in one of the most exciting and rapidly evolving fields in technology. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
N° de ref. del artículo 9798199962889
- Título
- Mastering Vision LLMs (Paperback)
- Autor
- Miles Wilson
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798199962889
What if you could build AI systems that see, understand, reason, and interact with the world like never before?
The era of single-purpose AI is ending. Multimodal intelligence is transforming how machines process information by combining vision, language, audio, and reasoning into unified systems capable of solving complex real-world problems. From intelligent assistants and autonomous agents to advanced image understanding and edge AI applications, multimodal AI is rapidly becoming the foundation of the next generation of software.
Multimodal AI Engineering is a practical, hands-on guide designed to help developers, machine learning engineers, data scientists, AI practitioners, and technology professionals build production-ready multimodal systems using modern tools, frameworks, and architectures. Rather than focusing on theory alone, this book takes you through the complete lifecycle of designing, training, fine-tuning, optimizing, deploying, and scaling intelligent AI applications that can process and reason across multiple data modalities.
Inside this book, you will learn how to:
• Understand the foundations of multimodal intelligence and modern AI architectures
• Build powerful vision-language systems using state-of-the-art models
• Prepare, structure, and manage datasets for multimodal training
• Fine-tune large models efficiently with LoRA and QLoRA techniques
• Implement Retrieval-Augmented Generation (RAG) for multimodal applications
• Develop intelligent agents capable of reasoning and interacting with external tools
• Optimize AI systems for performance, scalability, and cost efficiency
• Deploy multimodal workloads using Docker, Kubernetes, and cloud-native infrastructure
• Run vision AI models on edge devices and resource-constrained environments
• Design secure, reliable, and production-ready AI systems
What makes this book different is its strong emphasis on real-world implementation. Every chapter is focused on practical engineering workflows, modern deployment strategies, optimization techniques, and industry-proven best practices used to build scalable AI applications. Instead of stopping at model training, you'll learn how to bridge the gap between research and production, enabling you to create systems that deliver measurable value in real environments.
Whether you're developing intelligent business applications, computer vision platforms, AI-powered assistants, robotics solutions, or next-generation multimodal products, this book provides the knowledge, tools, and practical guidance needed to move from experimentation to deployment with confidence.
The future of AI belongs to systems that can understand the world through multiple forms of information. Start building those systems today and gain the skills needed to thrive in one of the most exciting and rapidly evolving fields in technology.
“Sinopsis” puede pertenecer a otra edición de este título.
CitiRetail
Stevenage, Reino Unido
Vendedor de IberLibro desde 29 de junio de 2022
Tarifas de envío de Reino Unido a Estados Unidos de America
| Artículo | De 7 a 14 días hábiles | De 7 a 60 días hábiles |
|---|---|---|
| Primer artículo | EUR 44,38 | EUR 44,38 |
Métodos de pago
Descripción de la tienda
Online business
Información empresarial del vendedor
ABC BOOKS LIMITED
10 John Street
London, Reino Unido WC1N 2EB
Condiciones de venta
Orders can be returned within 30 days of receipt.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a CitiRetail, Stevenage, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.