{ "item_title" : "Fine-Tuning and Alignment Engineering", "item_author" : [" Chatvariety Team "], "item_description" : "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", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/818/512/9798185127865_b.jpg", "price_data" : { "retail_price" : "9.99", "online_price" : "9.99", "our_price" : "9.99", "club_price" : "9.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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