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:
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Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798250340892
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