9798183820102 - reasoning model engineering: inference-time scaling and chain-of-thought optimization for enterprise ai engineers di team, chatvariety (5 risultati)
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 13,77
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 13,56
EUR 3,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently Published Jun 2026, 2026
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 14,00
EUR 60,69 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - The Definitive Engineering Guide to Production Reasoning AIReasoning models are rewriting what AI can do. DeepSeek-R1, OpenAI's o3 series, and Anthropic's Claude-the frontier systems of 2025 and 2026-don't just predict the next token. They think. They self-correct, backtrack, and decompose… complex challenges into logical steps to outperform systems trained purely on prediction.Reasoning Model Engineering is the practitioner's guide to this new paradigm. It covers the theory of inference-time compute scaling, the practical engineering of chain-of-thought systems, and the hard-won lessons of production deployment-latency management, cost control, evaluation, and safety.What You Will Master: - Theoretical Foundations: RLHF, process reward models, and Monte Carlo Tree Search.- Prompt & Agentic System Design: Engineering prompts, tools, and contexts that unlock peak reasoning performance.- Production Architectures: Deploying high-concurrency, latency-sensitive systems.- Cost & Latency Optimization: Strategies for long-context, long-thinking-chain models.- Evaluation & Safety: Frameworks that measure reasoning quality rather than simple output accuracy.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 16,83
EUR 43,21 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The Definitive Engineering Guide to Production Reasoning AIReasoning models are rewriting what AI can do. DeepSeek-R1, OpenAI's o3 series, and Anthropic's Claude-the frontier systems of 2025 and 2026-don't just predict the next token. They think. They self-correct, backtrack, and decompose…complex challenges into logical steps to outperform systems trained purely on prediction.Reasoning Model Engineering is the practitioner's guide to this new paradigm. It covers the theory of inference-time compute scaling, the practical engineering of chain-of-thought systems, and the hard-won lessons of production deployment-latency management, cost control, evaluation, and safety.What You Will Master: Theoretical Foundations: RLHF, process reward models, and Monte Carlo Tree Search.Prompt & Agentic System Design: Engineering prompts, tools, and contexts that unlock peak reasoning performance.Production Architectures: Deploying high-concurrency, latency-sensitive systems.Cost & Latency Optimization: Strategies for long-context, long-thinking-chain models.Evaluation & Safety: Frameworks that measure reasoning quality rather than simple output accuracy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
