Method prevents an AI model from being overconfident about wrong answers
People use large language models for a huge array of tasks, from translating an article to identifying financial fraud. However, despite the incredible capabilities and versatility of these models, they sometimes generate inaccurate responses. On top of that problem, the models can be overconfident about wrong answers or underconfident about correct ones, making it tough … Read more
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