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Fine-Tuning and Alignment Engineering: LoRA, DPO, RLHF, and Domain Adaptation for Production LLMs (Production AI Engineering Series) - Softcover
Buch 18 von 20: Production AI Engineering Series
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Master the Art of Customizing LLMs for Production
In the rapidly evolving world of artificial intelligence, building generic models is no longer enough. Fine-Tuning and Alignment Engineering is your comprehensive, hands-on guide to taking pre-trained large language models and tailoring them to deliver enterprise-grade performance, safety, and domain-specific expertise.
Written specifically for machine learning engineers, AI researchers, and technical leaders, this practical handbook bypasses theoretical abstraction to deliver production-ready patterns, mathematical foundations, and real-world code structures for 2026 and beyond.
Inside this end-to-end engineering handbook, you will discover:- Parameter-Efficient Fine-Tuning (PEFT): Master the mathematics and implementation of LoRA, QLoRA, and weight updates on single A100 GPUs.
- Advanced Alignment Techniques: Dive deep into Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), PPO, and Group Relative Policy Optimization (GRPO).
- Domain Adaptation: Implement highly secure, compliant adaptations for complex legal, medical, and coding environments.
- Production Deployment: Architect low-latency serving pipelines using vLLM, TensorRT-LLM, speculative decoding, and multi-LoRA routing.
- MLOps & Governance: Build robust validation harnesses, evaluation pipelines, and continuous feedback loops.
Whether you are fine-tuning specialized medical assistants or scaling a code-generation platform, this guide provides the exact blueprints required to design, train, and deploy high-performing, aligned LLMs at scale. Transform your organization's AI strategy from standard API wrapper to proprietary powerhouse today!
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Fine-Tuning and Alignment Engineering: LoRA, DPO, RLHF, and Domain Adaptation for Production LLMs (Production AI Engineering Series)
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Fine-Tuning and Alignment Engineering (Paperback)
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Paperback. Zustand: new. Paperback. Master the Art of Customizing LLMs for ProductionIn the rapidly evolving world of artificial intelligence, building generic models is no longer enough. Fine-Tuning and Alignment Engineering is your comprehensive, hands-on guide to taking pre-trained large language models and tailoring them to deliver enterprise-grade performance, safety, and domain-specific expertise.Written specifically for machine learning engineers, AI researchers, and technical leaders, this practical handbook bypasses theoretical abstraction to deliver production-ready patterns, mathematical foundations, and real-world code structures for 2026 and beyond.Inside this end-to-end engineering handbook, you will discover: Parameter-Efficient Fine-Tuning (PEFT): Master the mathematics and implementation of LoRA, QLoRA, and weight updates on single A100 GPUs.Advanced Alignment Techniques: Dive deep into Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), PPO, and Group Relative Policy Optimization (GRPO).Domain Adaptation: Implement highly secure, compliant adaptations for complex legal, medical, and coding environments.Production Deployment: Architect low-latency serving pipelines using vLLM, TensorRT-LLM, speculative decoding, and multi-LoRA routing.MLOps & Governance: Build robust validation harnesses, evaluation pipelines, and continuous feedback loops.Whether you are fine-tuning specialized medical assistants or scaling a code-generation platform, this guide provides the exact blueprints required to design, train, and deploy high-performing, aligned LLMs at scale. Transform your organization's AI strategy from standard API wrapper to proprietary powerhouse today! 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 9798185127865
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