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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 other than what they were trained on, raising questions about the need to ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Shares of Goldman Sachs ran up into record territory Thursday as investors focused on a big earnings beat fueled by strength in investment banking, and on upbeat comments about corporate buyout ...
A playground popular with many children was held up by red tape for months in Pittsburgh's Brookline neighborhood. It's a story at the confluence of disappointed children, a landslide, bureaucratic ...
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