Get the latest tech news
How Game Theory Can Make AI More Reliable
Researchers are drawing on ideas from game theory to improve large language models and make them more correct, efficient, and consistent.
Nineteen years later, a Google DeepMind program named AlphaGo won four out of five games against former Go champion Lee Sedol, revealing another arena in which humans no longer reigned supreme. The MIT group also relied on a modified form of Nash equilibrium that incorporates the players’ prior beliefs, which helps keep their responses grounded in reality. The net effect, the researchers observed, is to make the language model playing this game more accurate and more likely to give the same answer, no matter how the question is asked.
Or read this on Wired