Sparsity in AI Models
Luis discusses the innovative techniques that allow large language models to be adapted for edge devices, highlighting the importance of sparsity in these models. By focusing on non-zero values and employing effective compression methods, significant strides are being made towards running complex models in resource-limited environments. While we may not yet fully replicate GPT-3 on smaller devices, advancements in sparse computing are bringing us closer to that goal.In this clip
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Practical AI
Apache TVM and OctoML
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