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Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques
Peyman Passban, Andy Way, Mehdi Rezagholizadeh
Page: 183
Format: pdf, ePub, mobi, fb2
ISBN: 9783031857461
Publisher: Springer Nature Switzerland
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Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference . This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability.
Enhancing LLM Performance - Books-A-Million This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability.
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Enhancing Llm Performance: Efficacy, Fine-tuning, And Inference . Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques. Peyman Passban Edited by Andy Way , Mehdi Rezagholizadeh.
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs This technical report thoroughly examines the process of fine-tuning Large Language Models (LLMs), integrating theoretical insights and practical applications.