Isbn: 9798243297509 - claude opus 4.5 engineering guide: advanced reasoning models, system design, and production integration: 1 (5 risultati)

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

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

Paperback. Condizione: new. Paperback. Claude Opus 4.5 Engineering Guide provides a comprehensive technical examination of high-capability reasoning models and their role within modern AI systems. This volume explores how advanced language models operate at scale, emphasizing architectural design, reasoning behavior, and controlled execution in professional environments.The book analyzes model interaction patterns, prompt-to-reasoning pipelines, context management, and deterministic versus probabilistic execution strategies. Readers gain insight into how large reasoning models are integrated into applications, services, and internal tools while maintaining performance stability, safety alignment, and operational predictability.Beyond usage, the text focuses on engineering discipline: lifecycle management, evaluation methodologies, failure handling, observability, and system governance. Real-world integration considerations are addressed with attention to compliance, auditability, and long-term maintainability.This volume is intended for engineers and architects seeking a deep, implementation-focused understanding of advanced reasoning models as infrastructure components rather than experimental tools. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Claude Opus 4.5 Engineering Guide provides a comprehensive technical examination of high-capability reasoning models and their role within modern AI systems. This volume explores how advanced language models operate at scale, emphasizing architectural design, reasoning behavior, and controlled execution in professional environments.The book analyzes model interaction patterns, prompt-to-reasoning pipelines, context management, and deterministic versus probabilistic execution strategies. Readers gain insight into how large reasoning models are integrated into applications, services, and internal tools while maintaining performance stability, safety alignment, and operational predictability.Beyond usage, the text focuses on engineering discipline: lifecycle management, evaluation methodologies, failure handling, observability, and system governance. Real-world integration considerations are addressed with attention to compliance, auditability, and long-term maintainability.This volume is intended for engineers and architects seeking a deep, implementation-focused understanding of advanced reasoning models as infrastructure components rather than experimental tools. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …