Optimizing Large Language Models Practical Approaches and Applications of Quantization Technique

Optimizing Large Language Models Practical Approaches and Applications of Quantization Technique
Author :
Publisher : Anand Vemula
Total Pages : 143
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Optimizing Large Language Models Practical Approaches and Applications of Quantization Technique by : Anand Vemula

Download or read book Optimizing Large Language Models Practical Approaches and Applications of Quantization Technique written by Anand Vemula and published by Anand Vemula. This book was released on 2024-08-19 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Optimizing Large Language Models Practical Approaches and Applications of Quantization Technique Related Books

Optimizing Large Language Models Practical Approaches and Applications of Quantization Technique
Language: en
Pages: 143
Authors: Anand Vemula
Categories: Computers
Type: BOOK - Published: 2024-08-19 - Publisher: Anand Vemula

DOWNLOAD EBOOK

The book provides an in-depth understanding of quantization techniques and their impact on model efficiency, performance, and deployment. The book starts with a
Mastering Large Language Models with Python
Language: en
Pages: 547
Authors: Raj Arun R
Categories: Computers
Type: BOOK - Published: 2024-04-12 - Publisher: Orange Education Pvt Ltd

DOWNLOAD EBOOK

A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Gen
Advanced Intelligent Computing Technology and Applications
Language: en
Pages: 508
Authors: De-Shuang Huang
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Decoding Large Language Models
Language: en
Pages: 396
Authors: Irena Cronin
Categories: Computers
Type: BOOK - Published: 2024-10-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Explore the architecture, development, and deployment strategies of large language models to unlock their full potential Key Features Gain in-depth insight into
Large Language Model-Based Solutions
Language: en
Pages: 322
Authors: Shreyas Subramanian
Categories: Computers
Type: BOOK - Published: 2024-04-02 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI A