Large Language Models: An Introduction

by Oswald Campesato

This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher with Amazon proof of purchase.

FEATURESCovers in-depth explanations of foundational and advanced LLM concepts, including BERT, GPT-4, and prompt engineeringUses practical Python code samples in leveraging LLM functionalities effectivelyDiscusses future trends, ethical considerations, and the evolving landscape of AI technologiesIncludes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase) by writing to info@merclearning.com.TABLE OF CONTENTS
1: The Generative AI Landscape. 2: ChatGPT and GPT-4. 3: LLMs and the BERT Prompt Engineering.
5: Working with LLMs. 6: LLMs and Fine-Tuning. 7: SVG and GPT-4. 8. Miscellaneous Topics. Index.

ABOUT THE AUTHOR
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, Data Science, and Generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Kindle Edition

Published August 28, 2024

Reviews

[Lee]

The following prompt was given to GPT-4(o) ...