Artificial Intelligence and Large Language Models

An Introduction to the Technological Future
1. Auflage 2024
ISBN: 978-1-032-75480-2
Verlag: Chapman and Hall/CRC

Buch, Englisch, 290 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 447 g

Having been catapulted into public discourse in the last few years, this book serves as an in-depth exploration of the ever-evolving domain of artificial intelligence (AI), large language models, and ChatGPT. It provides a meticulous and thorough analysis of AI, ChatGPT technology, and their prospective trajectories given the current trend, in addition to tracing the significant advancements that have materialized over time.

Key Features:

- Discusses the fundamentals of AI for general readers

- Introduces readers to the ChatGPT chatbot and how it works

- Covers natural language processing (NLP), the foundational building block of ChatGPT

- Introduces readers to the deep learning transformer architecture

- Covers the fundamentals of ChatGPT training for practitioners

Illustrated and organized in an accessible manner, this textbook contains particular appeal to students and course convenors at the undergraduate and graduate level, as well as a reference source for general readers.

Zielgruppe

Professional Practice & Development and Undergraduate Advanced

Autoren/Hrsg.

Thakur, Kutub

Barker, Helen G.

Khan Pathan, Al-Sakib

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Preface. About the Authors. 1. Fundamentals of Artificial Intelligence (AI). 2. Introduction to ChatGPT. 3. ChatGPT Technology Stack. 4. Natural Language Processing (NLP): Foundation Building Block of ChatGPT. 5. Deep Learning Transformer Architecture. 6. Fundamentals of ChatGPT Training. 7. Using ChatGPT Like a Pro. 8. Using Different Versions of ChatGPT. 9. Future of ChatGPT. 10. Top Use Cases of GPT-Based Tools. Bibliography. Index.

Über Autor(innen)

Kutub Thakur, PhD is Associate Professor, School of Cybersecurity & IT, University of Maryland Global Campus, USA.

Helen Barker, D.M. is Professor, Cybersecurity Department Chair, University of Maryland Global Campus, USA

Al-Sakib Khan Pathan, PhD is Professor, Department of Computer Science and Engineering, United International University, Bangladesh