CATS (Contextually Aware Thresholding for Sparsity): A Novel Machine Learning Framework for Inducing and Exploiting Activation Sparsity in LLMs

Large Language Models (LLMs) have transformed numerous AI applications, but they come with high operational costs during inference phases due to the computational power they require. Efficiency in LLMs remains a primary challenge as their size and complexity increase. The key issue is the computational expense of running these models, particularly during the inference stage. […]

The post CATS (Contextually Aware Thresholding for Sparsity): A Novel Machine Learning Framework for Inducing and Exploiting Activation Sparsity in LLMs appeared first on …

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