Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment

By Zhao Colton

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.

• Format: Paperback
• Language: English
• ISBN: B0GQSHPL26
• ISBN13: 9798250340892
• Release Date: March 2026
• Publisher: Independently Published
• Length: 174 Pages
• Weight: 0.69 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"