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

Colton, Zhao

Couverture souple

ISBN 13 : 9798250340892

Editeur : Independently published, 2026

Synopsis

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:

1. Fine-tuning fundamentals and model adaptation theory
2. Supervised fine-tuning workflows
3. Dataset preparation and curation strategies
4. Instruction tuning and alignment techniques
5. Evaluation benchmarks and quality measurement
6. Parameter-efficient fine-tuning (PEFT) methods
7. Safety and bias considerations
8. Deployment pipelines and performance monitoring

The 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.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798250340892
• Reliure: Broché
• Nombre de pages: 172
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg