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Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI

arXiv cs.LG · 2d ago Cached

This study reveals a 'Smart Pruning Paradox' where activation-aware pruning methods like Wanda preserve perplexity but significantly amplify bias in Large Language Models deployed on edge devices.

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#meta-research

How Alta Daily Uses Meta’s Segment Anything to Reimagine the Digital Closet

Meta AI Blog · 2026-04-05

Alta Daily is leveraging Meta's Segment Anything model to revolutionize the digital closet experience by improving image segmentation and organization.

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