1st Edition
GPT Meets Game Theory Training and Optimizing Generative AI Models
By Hamidou Tembine
Copyright 2026
310 Pages
50 B/W Illustrations
by
Chapman & Hall
310 Pages
50 B/W Illustrations
by
Chapman & Hall
310 Pages
50 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
Game theory systems can be seen as players working together or competing to achieve goals. GPT Meets Game Theory explores a new way to understand and employ neural networks through the lens of game theory. Focusing on transformers, the engines behind today’s most advanced AI, it explains key mathematical concepts and strategies in a clear, accessible way.
As AI models are growing larger and... Read more
Introduction
1. Deep Learning Meets Game Theory
2. Mathematics of Transformers
3. Extremely Large Transformers
4. Mean-Field-Type Transformers
5. Mean-Field-Type Learning
6. Strategic Deep Learning
Conclusion
Biography
Hamidou Tembine is a professor of machine intelligence at the University of Quebec in Trois-Rivieres, Canada, and the co-founder of Timadie, which is a platform of platforms that brings together companies, laboratories, and professional associations.
