{"product_id":"mastering-fine-tuning-with-llms-anand-vemula-9798334013476","title":"Mastering Fine-Tuning with LLMs: From Basics to Advanced Techniques","description":"\u003cp\u003e\u003cb\u003eMastering Fine-Tuning with LLMs: From Basics to Advanced Techniques\"\u003c\/b\u003e provides a comprehensive guide to optimizing large language models (LLMs) for various applications. This book is designed for data scientists, machine learning engineers, and AI enthusiasts who want to harness the power of fine-tuning to enhance LLMs' performance and adapt them to specific tasks.\u003c\/p\u003e\u003cp\u003eThe book is structured into eight parts, each focusing on different aspects of fine-tuning LLMs. It begins with an introduction to large language models, including their evolution, key concepts, and applications such as natural language understanding, text generation, and conversational AI.\u003c\/p\u003e\u003cp\u003ePart II delves into the fundamentals of fine-tuning, covering essential topics like data preparation, setting up the fine-tuning environment, and understanding the differences between pre-training and fine-tuning.\u003c\/p\u003e\u003cp\u003eIn Part III, the book explores various fine-tuning techniques, including supervised, unsupervised, and self-supervised learning, along with transfer learning and domain adaptation. It provides step-by-step guides and case studies to illustrate how these techniques can be applied in real-world scenarios.\u003c\/p\u003e\u003cp\u003ePart IV focuses on advanced fine-tuning strategies, such as hyperparameter tuning, handling imbalanced and limited data, and optimizing training performance. It offers practical advice on managing computational resources and improving efficiency.\u003c\/p\u003e\u003cp\u003ePart V addresses evaluating and validating fine-tuned models, discussing evaluation metrics, validation techniques, and error analysis to ensure model reliability and performance.\u003c\/p\u003e\u003cp\u003ePart VI covers deployment and maintenance, including strategies for deploying models in production, monitoring performance, and updating models to adapt to new data.\u003c\/p\u003e\u003cp\u003eIn Part VII, the book delves into ethical considerations and cost management, emphasizing the importance of fairness, transparency, and cost-effective practices in AI development.\u003c\/p\u003e\u003cp\u003eFinally, Part VIII presents hands-on projects and case studies, allowing readers to apply their knowledge in practical scenarios. The book concludes with a look at future trends in LLM fine-tuning and the evolving role of LLMs in AI.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Anand Vemula\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798334013476\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/24\/2024\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 96\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.31lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.20d","brand":"Anand Vemula","offers":[{"title":"Paperback","offer_id":46199307141375,"sku":"9798334013476","price":9.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_bf2af280-9adf-43e0-9d6e-b391d241b6bc.jpg?v=1727925673","url":"https:\/\/www.whiterainbookhouse.com\/products\/mastering-fine-tuning-with-llms-anand-vemula-9798334013476","provider":"WR Book House","version":"1.0","type":"link"}