Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Erik, Herman L.

Theory, Applications and Ethics

AI Revealed

CAMPESATO, OSWALD

CSS3 and SVG with Meta AI

MLI Generative AI Series

Including ChatGPT and Prompt Engineering

Transformer, BERT, and GPT

Frontmatter

Contents

Preface

Chapter 1: Introduction

Chapter 2: Tokenization

Chapter 3: Transformer Architecture Introduction

Chapter 4: Transformer Architecture in Greater Depth

Chapter 5: The BERT Family Introduction

Chapter 6: The BERT Family in Greater Depth

Chapter 7: Working with GPT-3 Introduction

Chapter 8: Working with GPT-3 in Greater Depth

Chapter 9: ChatGPT and GPT-4

Chapter 10: Visualization with Generative AI

Index

companionfiles.zip

This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT.

This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and...

Format

Transformer, BERT, and GPT

Including ChatGPT and Prompt Engineering

Oswald Campesato

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