It seems like yesterday, long before there were handheld GPS units, smart phones and even Google Maps that my staff and I were prepping for another set of proof of performance measurements. Drawing ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know ...
MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...
Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
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