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ENTITY Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments

Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments

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    Apple unveils LensVLM for improved VLM accuracy with compressed text

    Apple researchers have developed LensVLM, a new framework and post-training method designed to improve the accuracy of Vision Language Models (VLMs) when processing compressed text images. LensVLM works by selectively e…