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Transformer, BERT, and GPT
Transformer, BERT, and GPT

Transformer, BERT, and GPT: Unlock the Power of Transformers, BERT, GPT-3, and GPT-4 in Natural Language Processing

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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$54.99
eBook Aug 2024 379 pages 1st Edition
eBook
$54.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
$54.99
eBook Aug 2024 379 pages 1st Edition
eBook
$54.99
eBook
$54.99

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Key benefits

  • Detailed coverage of foundational concepts like attention mechanisms and tokenization techniques
  • In-depth exploration of Transformer, BERT, and GPT architectures
  • Practical guidance on using GPT-3 and ChatGPT for various NLP applications

Description

This book offers an in-depth exploration of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Beginning with foundational concepts like the attention mechanism and tokenization techniques, it delves into the intricacies of Transformer and BERT architectures. Advanced topics cover the latest developments in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the nuances of Transformer architecture, a detailed exploration of the BERT family, and hands-on guidance on working with GPT-3. The journey continues with a comprehensive overview of ChatGPT, GPT-4, and visualization using generative AI. The book also discusses influential AI organizations such as DeepMind, OpenAI, Cohere, and Hugging Face. Readers will gain a thorough understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Companion files with numerous code samples and figures from the book enhance the learning experience, providing practical tools and resources. This book is an essential guide for those seeking to master the latest advancements in natural language processing and generative AI.

Who is this book for?

This book is ideal for those with basic machine learning knowledge or software developers interested in LLMs. Prior knowledge of Python is helpful. The content is designed for readers seeking detailed technical insights into NLP models.

What you will learn

  • Understand Generative AI concepts
  • Differentiate between Conversational and Generative AI
  • Apply tokenization techniques
  • Explore Transformer and BERT architectures
  • Utilize GPT-3 and ChatGPT
  • Implement practical NLP applications

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 13, 2024
Length: 379 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643623
Category :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Aug 13, 2024
Length: 379 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643623
Category :

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Table of Contents

11 Chapters
Chapter 1 Introduction Chevron down icon Chevron up icon
Chapter 2 Tokenization Chevron down icon Chevron up icon
Chapter 3 Transformer Architecture Introduction Chevron down icon Chevron up icon
Chapter 4 Transformer Architecture in Greater Depth Chevron down icon Chevron up icon
Chapter 5 The BERT Family Introduction Chevron down icon Chevron up icon
Chapter 6 The BERT Family in Greater Depth Chevron down icon Chevron up icon
Chapter 7 Working with GPT-3 Introduction Chevron down icon Chevron up icon
Chapter 8 Working with GPT-3 in Greater Depth Chevron down icon Chevron up icon
Chapter 9 ChatGPT and GPT-4 Chevron down icon Chevron up icon
Chapter 10 Visualization with Generative AI Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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