This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
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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 ...
A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of artificial intelligence.
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