{"product_id":"fine-tuning-large-language-models-adapting-gpt-and-llama-architectures-for-specialized-industry-tasks-9798248084432","title":"Fine-Tuning Large Language Models: Adapting GPT and Llama architectures for specialized industry tasks","description":"\u003cp\u003e • Author(s): Nathan Westwood\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Expert Systems\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGeneral Intelligence is Good. Specialized Intelligence is Profitable.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChatGPT is a jack of all trades. But can it write compliant medical reports? Can it debug your proprietary legacy code?\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThe era of \"one-size-fits-all\" AI is ending. To build truly valuable applications, you don't just need a Large Language Model-you need a \u003ci\u003eSpecialized\u003c\/i\u003e Language Model. \u003ci\u003eFine-Tuning Large Language Models\u003c\/i\u003e is the engineer's guide to taking open-source giants like \u003cb\u003eLlama 3\u003c\/b\u003e, \u003cb\u003eMistral\u003c\/b\u003e, and \u003cb\u003eFalcon\u003c\/b\u003e and retraining them to master your specific domain.\u003c\/p\u003e\u003cp\u003eThis book moves beyond simple \"Prompt Engineering\" or RAG. It teaches you the deep learning techniques required to fundamentally alter a model's behavior, style, and knowledge base-turning a generic chatbot into a precision tool.\u003c\/p\u003e\u003cb\u003eYour Data. Your Model. Your Rules.\u003c\/b\u003e\u003cp\u003eWhether you are in finance, law, healthcare, or software, this guide provides the architectural blueprint for domain adaptation.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eParameter-Efficient Fine-Tuning (PEFT): \u003c\/b\u003e Stop trying to retrain 70 billion parameters. Master \u003cb\u003eLoRA (Low-Rank Adaptation)\u003c\/b\u003e and \u003cb\u003eQLoRA\u003c\/b\u003e to fine-tune massive models on a single consumer GPU.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eData Curation Strategies: \u003c\/b\u003e Learn the most critical skill in AI: formatting your raw documents into high-quality \"Instruction Sets\" (JSONL) that actually teach the model.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eThe \"Teacher-Student\" Method: \u003c\/b\u003e Use stronger models (like GPT-4) to generate synthetic training data to distill knowledge into smaller, faster, cheaper local models.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEvaluation \u0026amp; Benchmarking: \u003c\/b\u003e How do you know your model is getting better? Implement rigorous testing pipelines using \u003cb\u003eBLEU\u003c\/b\u003e, \u003cb\u003eROUGE\u003c\/b\u003e, and \u003cb\u003eLLM-as-a-Judge\u003c\/b\u003e metrics.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eRLHF (Reinforcement Learning from Human Feedback): \u003c\/b\u003e An introduction to the final step of alignment-teaching your model to prefer helpful, safe, and accurate answers based on human preference data.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you are a startup CTO trying to beat the API costs, or a researcher pushing the boundaries of open-source AI, this book hands you the controls.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStop renting intelligence. Build your own. Scroll up and grab your copy to master the art of Fine-Tuning.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47569828905111,"sku":"9798248084432","price":1419.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798248084432.webp?v=1774879307","url":"https:\/\/atlanticbooks.com\/products\/fine-tuning-large-language-models-adapting-gpt-and-llama-architectures-for-specialized-industry-tasks-9798248084432","provider":"Atlantic Books","version":"1.0","type":"link"}