DeepMind’s SCoRE makes AI models more reliable
DeepMind has developed a new technique called SCoRe that significantly improves the self-correction abilities of large language models (LLMs). Ben Dickson reports this in an article for VentureBeat. SCoRe uses self-generated data and enables LLMs to use their internal knowledge to identify and correct errors. In tests, SCoRe significantly outperformed other self-correction methods. The technique …