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, Large Language Models and ChatGPT.
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, Large Language Models and ChatGPT. It provides a meticulous and thorough analysis of Artificial Intelligence (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 Artificial Intelligence (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.
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.
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
