"Fine-Tuning LLMs: Advanced Techniques for Optimizing AI Performance with PyTorch and Hugging Face" is a definitive guide for practitioners, researchers, and developers who seek to harness the full potential of large language models in real-world applications. This comprehensive book demystifies the fine-tuning process, offering a step-by-step roadmap from foundational principles to state-of-the-art techniques. Inside, you'll discover how to leverage the powerful ecosystems of PyTorch and Hugging Face to tailor pre ...
Read More
"Fine-Tuning LLMs: Advanced Techniques for Optimizing AI Performance with PyTorch and Hugging Face" is a definitive guide for practitioners, researchers, and developers who seek to harness the full potential of large language models in real-world applications. This comprehensive book demystifies the fine-tuning process, offering a step-by-step roadmap from foundational principles to state-of-the-art techniques. Inside, you'll discover how to leverage the powerful ecosystems of PyTorch and Hugging Face to tailor pre-trained models for specialized tasks across diverse industries-be it legal, medical, or financial. Learn how to prepare and preprocess data, implement parameter-efficient strategies, and optimize hyperparameters to ensure your models are both robust and scalable. In addition, the book covers essential topics such as ethical considerations, fairness, security, and responsible AI practices, equipping you with the tools needed to deploy safe and reliable systems. Packed with detailed case studies, real-world examples, and practical code snippets, this book not only teaches you the technical nuances of fine-tuning but also guides you through deployment, integration, and continuous learning in production environments. Whether you're a seasoned AI professional or an enthusiastic newcomer, "Fine-Tuning LLMs" provides the insights and methodologies necessary to transform cutting-edge research into impactful, high-performance applications. Embrace the future of AI with this essential resource that combines deep technical expertise with practical, hands-on guidance for optimizing language models to achieve unparalleled performance and efficiency.
Read Less
Add this copy of Fine-Tuning LLM: Advanced Techniques for Optimizing AI to cart. $15.27, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of Fine-Tuning Llm: Advanced Techniques for Optimizing Ai to cart. $19.93, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by Independently published.
Add this copy of Fine-Tuning LLM: Advanced Techniques for Optimizing AI to cart. $21.40, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Trade paperback (US). Glued binding. 300 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Fine-Tuning LLM: Advanced Techniques for Optimizing AI to cart. $21.62, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 300 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.