Overview

• 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.