{ "item_title" : "Fine Tuning LLM Practical Implementation and Adaptation", "item_author" : [" Zhao Colton "], "item_description" : "While foundation models provide powerful general intelligence, real-world applications often require domain adaptation, improved consistency, and controlled outputs.In Practical LLM Fine-Tuning and Adaptation, Zhao Colton presents a structured guide to customizing large language models for specialized tasks.This book explores: Fine-tuning fundamentals and model adaptation theorySupervised fine-tuning workflowsDataset preparation and curation strategiesInstruction tuning and alignment techniquesEvaluation benchmarks and quality measurementParameter-efficient fine-tuning (PEFT) methodsSafety and bias considerationsDeployment pipelines and performance monitoringThe book balances conceptual understanding with implementation strategy, helping practitioners understand not only how to fine-tune models but when it is appropriate to do so.Readers will gain clarity on designing responsible, efficient, and maintainable model adaptation pipelines suitable for production systems.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/825/034/9798250340892_b.jpg", "price_data" : { "retail_price" : "20.00", "online_price" : "20.00", "our_price" : "20.00", "club_price" : "20.00", "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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