Do LLMs Need Self-Awareness to Predict Their Own Accuracy?

Do LLMs Need Self-Awareness to Predict Their Own Accuracy?

Photo by Airam Vargas on Pexels

New research suggests that Large Language Models (LLMs) might lack crucial self-knowledge, including the ability to accurately assess their own outputs and uncertainty. Several studies indicate that LLMs don’t necessarily ‘know’ when they are right or wrong. This finding sparks debate about the necessity of self-awareness for AI systems and its potential impact on their reliability, specifically their ability to predict the accuracy of their responses. The discussion originated on Reddit’s Artificial Intelligence forum. See the original post: [https://old.reddit.com/r/artificial/comments/1nxvswm/llms_dont_have_self_knowledge_and_it_is/]