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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 ...
In a post to Github on Tuesday, the social media giant purported to share its secret sauce.
The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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