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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 generateย inaccurate responses. On top of that problem, the models can be overconfident about wrong answers or underconfident about correct ones, making it tough for…
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Reasoning and reliability in AI
In order for natural language to be an effective form of communication, the parties involved need to be able to understand words and their context, assume that the content is largely shared in good faith and is trustworthy, reason about the information being shared, and then apply it to real-world scenarios. MIT PhD studentsย interning with…