MLI Generative AI Series Series

Large Language Models

An Introduction

Paperback
September 2024
9781501523298
More details
  • Publisher
    Mercury Learning and Information
  • Published
    25th September
  • ISBN 9781501523298
  • Language English
  • Pages 480 pp.
  • Size 6" x 9"
$54.99
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September 2024
9781501520587
More details
  • Publisher
    Mercury Learning and Information
  • Published
    17th September
  • ISBN 9781501520587
  • Language English
  • Pages 480 pp.
  • Size 6" x 9"
$165.00
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September 2024
9781501520600
More details
  • Publisher
    Mercury Learning and Information
  • Published
    17th September
  • ISBN 9781501520600
  • Language English
  • Pages 480 pp.
  • Size 6" x 9"
$54.99

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.

FEATURES:

  • Covers in-depth explanations of foundational and advanced LLM concepts, including BERT, GPT-4, and prompt engineering
  • Uses practical Python code samples in leveraging LLM functionalities effectively
  • Discusses future trends, ethical considerations, and the evolving landscape of AI technologies
  • Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase)

1: The Generative AI Landscape
2: ChatGPT and GPT-4
3: LLMs and the BERT Family
4: Prompt Engineering
5: Working with LLMs
6: LLMs and Fine-Tuning
7: SVG and GPT-4
8. Miscellaneous Topics
Index

Oswald Campesato

Oswald Campesato 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, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

Generative AI; Prompt Engineering; Python; ChatGPT; GPT-4; AI; Gemini; BERT; transformers; grep; LLMs; hallucinations; NLPs