Get the latest tech news
METASCALE improves LLM reasoning with adaptive strategies
METASCALE uses a three-stage approach to dynamically choose the right reasoning technique for each promblem.
Current methods for adjusting the reasoning process of LLMs, such as chain-of-thought(CoT) prompting, self-verification and reverse thinking, are often designed for specific tasks, limiting their adaptability and effectiveness across diverse scenarios. The researchers point out that “these approaches impose fixed thinking structures rather than enabling LLMs to adaptively determine the most effective task-specific strategy, potentially limiting their performance.” “These results demonstrate that integrating meta-thoughts enables LLMs to scale more effectively during test time as the number of samples increases,” the researchers state.
Or read this on Venture Beat