Master the complete lifecycle of modern language model alignment.
This book provides a practical and rigorous guide to RLHF (Reinforcement Learning from Human Feedback), DPO, Constitutional AI, RLAIF, and modern LLM evaluation.
Covering both theory and implementation, you'll learn how alignment systems are built, optimized, evaluated, and monitored in production environments.
Inside you'll find:
• Mathematical foundations of RLHF, PPO, reward modeling, and preference optimization
• Modern alignment methods including DPO, KTO, ORPO, Constitutional AI, and RLAIF
• Hands-on implementations using the Hugging Face ecosystem
• Multidimensional evaluation of toxicity, bias, factuality, helpfulness, and harmlessness
• Production monitoring, guardrails, observability, and drift detection
Written for ML engineers, data scientists, AI researchers, and technical leaders, this book bridges the gap between alignment research and real-world deployment.
A complete technical reference for building safer, more reliable, and production-ready language models.
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Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. Master the complete lifecycle of modern language model alignment.This book provides a practical and rigorous guide to RLHF (Reinforcement Learning from Human Feedback), DPO, Constitutional AI, RLAIF, and modern LLM evaluation.Covering both theory and implementation, you'll learn how alignment systems are built, optimized, evaluated, and monitored in production environments.Inside you'll find: - Mathematical foundations of RLHF, PPO, reward modeling, and preference optimization- Modern alignment methods including DPO, KTO, ORPO, Constitutional AI, and RLAIF- Hands-on implementations using the Hugging Face ecosystem- Multidimensional evaluation of toxicity, bias, factuality, helpfulness, and harmlessness- Production monitoring, guardrails, observability, and drift detectionWritten for ML engineers, data scientists, AI researchers, and technical leaders, this book bridges the gap between alignment research and real-world deployment.A complete technical reference for building safer, more reliable, and production-ready language models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798174870178
Anbieter: PBShop.store US, Wood Dale, IL, USA
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798174870178
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Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Paperback. Zustand: new. Paperback. Master the complete lifecycle of modern language model alignment.This book provides a practical and rigorous guide to RLHF (Reinforcement Learning from Human Feedback), DPO, Constitutional AI, RLAIF, and modern LLM evaluation.Covering both theory and implementation, you'll learn how alignment systems are built, optimized, evaluated, and monitored in production environments.Inside you'll find: - Mathematical foundations of RLHF, PPO, reward modeling, and preference optimization- Modern alignment methods including DPO, KTO, ORPO, Constitutional AI, and RLAIF- Hands-on implementations using the Hugging Face ecosystem- Multidimensional evaluation of toxicity, bias, factuality, helpfulness, and harmlessness- Production monitoring, guardrails, observability, and drift detectionWritten for ML engineers, data scientists, AI researchers, and technical leaders, this book bridges the gap between alignment research and real-world deployment.A complete technical reference for building safer, more reliable, and production-ready language models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798174870178
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware. Bestandsnummer des Verkäufers 9798174870178
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