ISBN: 9798184642956 - vision-language models in production: architecting multimodal llm applications: from vision-language api to self-hosted model (6 risultati)

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: new. Paperback. The Engineer's Definitive Guide to Deploying Multimodal AIVision-language models (VLMs) represent the fastest-growing sector of AI deployment. While GPT-4o, Gemini 1.5 Pro, and open-source breakthroughs like LLaVA and InternVL2 have made multimodal AI a reality, transitioning from an API demo to a robust production system remains a monumental challenge. This book bridges that gap, offering a hands-on, engineering-first approach to shipping VLM-powered products.What you will master inside: Architectural Fundamentals: Go deep into visual encoders, projection layers, and language models to optimize prompt engineering and mitigate unexpected failure modes.Model Selection Frameworks: Learn how to weigh proprietary APIs against open-source alternatives based on latency, cost, privacy, and performance benchmarks.Production-Grade Preprocessing: Build highly efficient image pipelines that cut token consumption without sacrificing critical visual intelligence.Multimodal RAG: Design and scale retrieval systems that handle complex corpora containing both structured text and rich visual data.Rigorous Evaluation: Implement frameworks like LMMs-Eval and define production metrics to continuously monitor model behavior.Scalable Infrastructure & Serving: Master batching, caching, rate-limiting, and cost-management techniques tailored specifically for heavy multimodal workloads.Whether you are building document processing pipelines, visual search engines, or autonomous agent frameworks, Vision-Language Models in Production provides the blueprints, patterns, and source-code insights needed to build resilient, cost-effective, and secure AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Condizione: New. Print on Demand.

PAP. Condizione: 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. Condizione: new. Paperback. The Engineer's Definitive Guide to Deploying Multimodal AIVision-language models (VLMs) represent the fastest-growing sector of AI deployment. While GPT-4o, Gemini 1.5 Pro, and open-source breakthroughs like LLaVA and InternVL2 have made multimodal AI a reality, transitioning from an API demo to a robust production system remains a monumental challenge. This book bridges that gap, offering a hands-on, engineering-first approach to shipping VLM-powered products.What you will master inside: Architectural Fundamentals: Go deep into visual encoders, projection layers, and language models to optimize prompt engineering and mitigate unexpected failure modes.Model Selection Frameworks: Learn how to weigh proprietary APIs against open-source alternatives based on latency, cost, privacy, and performance benchmarks.Production-Grade Preprocessing: Build highly efficient image pipelines that cut token consumption without sacrificing critical visual intelligence.Multimodal RAG: Design and scale retrieval systems that handle complex corpora containing both structured text and rich visual data.Rigorous Evaluation: Implement frameworks like LMMs-Eval and define production metrics to continuously monitor model behavior.Scalable Infrastructure & Serving: Master batching, caching, rate-limiting, and cost-management techniques tailored specifically for heavy multimodal workloads.Whether you are building document processing pipelines, visual search engines, or autonomous agent frameworks, Vision-Language Models in Production provides the blueprints, patterns, and source-code insights needed to build resilient, cost-effective, and secure AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…