Articoli correlati a Fine Tuning LLM Practical Implementation and Adaptation:...
Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment: 3 - Brossura
Libro 3 di 3: The Applied Agentic AI Engineering Series
Sinossi
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 theory
- Supervised fine-tuning workflows
- Dataset preparation and curation strategies
- Instruction tuning and alignment techniques
- Evaluation benchmarks and quality measurement
- Parameter-efficient fine-tuning (PEFT) methods
- Safety and bias considerations
- Deployment pipelines and performance monitoring
Readers will gain clarity on designing responsible, efficient, and maintainable model adaptation pipelines suitable for production systems.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment (The Applied Agentic AI Engineering Series)
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Fine Tuning LLM Practical Implementation and Adaptation (Paperback)
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Paperback. Condizione: 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 multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798250340892
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Fine Tuning LLM Practical Implementation and Adaptation (Paperback)
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Paperback. Condizione: 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. Codice articolo 9798250340892
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