Articles liés à Quantization Methods for Large Language Models From...
Quantization Methods for Large Language Models From Theory to Real-World Implementations - Couverture souple
L'édition de cet ISBN n'est malheureusement plus disponible.
Synopsis
The book provides an in-depth understanding of quantization techniques and their impact on model efficiency, performance, and deployment.
The book starts with a foundational overview of quantization, explaining its significance in reducing the computational and memory requirements of LLMs. It delves into various quantization methods, including uniform and non-uniform quantization, per-layer and per-channel quantization, and hybrid approaches. Each technique is examined for its applicability and trade-offs, helping readers select the best method for their specific needs.
The guide further explores advanced topics such as quantization for edge devices and multi-lingual models. It contrasts dynamic and static quantization strategies and discusses emerging trends in the field. Practical examples, use cases, and case studies are provided to illustrate how these techniques are applied in real-world scenarios, including the quantization of popular models like GPT and BERT.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurAnand Vemula
- Date d'édition2024
- ISBN 13 9798227328335
- ReliureTapa blanda
- Langueanglais
- Nombre de pages76
- Coordonnées du fabricantnon disponible
(Aucun exemplaire disponible)
Chercher: Créez une demandeVous ne trouvez pas le livre que vous recherchez ? Nous allons poursuivre vos recherches. Si l'un de nos libraires l'ajoute aux offres sur AbeBooks, nous vous le ferons savoir !
Créez une demande