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Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications
Paperback
General ComputersProbability & StatisticsProgramming
Publisher Price: $59.99
Publisher: Apress
Published: Jun 19 2026
Pages: 402
Weight: 1.63
Height: 0.87 Width: 7.00 Depth: 10.00
Language: English
- Design production-ready LLM systems using the Feature/Training/Inference (FTI) framework Apply advanced fine-tuning methods, including LoRA and QLoRA, for efficient model adaptation Build and optimize RAG pipelines with effective retrieval strategies and vector databases Deploy optimized LLMs using quantization techniques and scalable inference frameworks Develop multimodal and agentic AI applications with vision-language models and autonomous agents
This book is ideal for software developers, machine learning engineers, data scientists, and technical researchers who want to move beyond using API endpoints and start
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