New AI Algorithm Improves Chatbot Reasoning and Performance

The Quiet-STaR algorithm allows chatbots to simulate an inner monologue, significantly enhancing their reasoning and response accuracy.

A collaboration between Stanford University and Notbad AI Inc. developed Quiet-STaR, enabling chatbots to think before responding.
The algorithm's implementation increased the reasoning test score of Mistral 7B chatbot from 36.3% to 47.2%.
Quiet-STaR allows chatbots to generate multiple answers, compare them, and choose the best one, mimicking human-like reasoning.
Researchers aim to close the gap between AI and human reasoning capabilities, enhancing chatbots' common sense and contextual understanding.
The algorithm could potentially be integrated into any current chatbot, suggesting a widespread improvement in chatbot accuracy.