Google & UC Berkeley’s ‘Self-Debugging’ Framework Teaches LLMs to Debug Their Own Code | Synced
In the new paper Teaching Large Language Models to Self-Debug, a Google Research and UC Berkeley team presents Self-Debugging, a framework that teaches large language models to debug their own pred...
Source: Synced | AI Technology & Industry Review
In the new paper Teaching Large Language Models to Self-Debug, a Google Research and UC Berkeley team presents Self-Debugging, a framework that teaches large language models to debug their own predicted code via few-shot demonstrations and improves baseline accuracy by up to 12 percent.