AI Seems to Do Better on Tasks When Asked to Reflect on Its Mistakes
Briefly

In a not-yet-peer-reviewed paper, a team of researchers from Northeastern University and the Massachusetts Institute of Technology suggests that large language models (LLM) might be able to learn from their own mistakes - just like humans.Teaching them to do so, they say, might be able to push AI technologies into a new phase of autonomous problem-solving.
Read at Futurism
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