Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to remove redundancies in Mamba-based models, improving their computational and memory efficiency
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Neural networks news
Intel NN News
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and […]
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to […]
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
Industrial enterprises need more than just AI to scale technology across diverse environments. They […]
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
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