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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Many in the AI community believe that the next major revolution will be the era of self-improving AI where AI can improve ...
Both humans and LLMs show modest metacognitive sensitivity : When explicitly prompted for confidence ratings, high confidence ...
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