Книга Mastering Large Language Models Sanket Subhash Khandare

Mastering Large Language Models

Език: Английски език
Корици: С меки корици
Издател: BPB Publications
Наличност: Външен склад
Изпращаме след 9-15 дни
38.03 74.38 лв
Do not just talk AI, build it: Your guide to LLM application developmentDESCRIPTION Transform your b...

Информация за книгата

Език
Английски език
Корици
Книга - С меки корици
Издадена
2024
страници
382
EAN
9789355519658
ISBN
9355519656
Enbook ID
45269347
Издател
Теглоt
712
Размери
191 x 235 x 21

Пълно описание

Do not just talk AI, build it: Your guide to LLM application development


DESCRIPTION 

Transform your business landscape with the formidable prowess of large language models (LLMs).  The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications.


This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks, and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment. 


With this book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices.


WHAT YOU WILL LEARN

Grasp fundamentals of natural language processing (NLP) applications.

Explore advanced architectures like transformers and their applications.

Master techniques for training large language models effectively.

Implement advanced strategies, such as meta-learning and self-supervised learning.

Learn practical steps to build custom language model applications.


WHO THIS BOOK IS FOR

This book is tailored for those aiming to master large language models, including seasoned researchers, data scientists, developers, and practitioners in natural language processing (NLP).

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