Meta AI Introduces Thought Preference Optimization (TPO) to Improve AI Models' Response Quality
A new method, TPO, has been introduced by researchers from Meta FAIR, the University of California, Berkeley, and New York University. This approach enables large language models (LLMs) to generate internal thoughts before responding, leading to more accurate and coherent responses. The technique incorporates a modified Chain-of-Thought reasoning method, which encourages LLMs to "think before responding" during training.