Enhancing LLM Performance - Efficacy, Fine-Tuning, and Inference ...

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Language English
Total size 20.5 MB
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Infohash : 02DBCF2CD158A8161680B00EF37AAE50D3C8235F

Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques

https://WebToolTip.com

English | 2025 | ISBN-10: 3031857461 | 200 pages| Epub PDF (True) | 20 MB

This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability. Edited by three distinguished experts—Peyman Passban, Mehdi Rezagholizadeh, and Andy Way—this book presents practical solutions to the growing challenges of training and deploying these massive models. With their combined experience across academia, research, and industry, the authors provide insights into the tools and strategies required to improve LLM performance while reducing computational demands.

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