Google's TurboQuant algorithm significantly reduces the memory requirements for large language models by compressing KV cache data with minimal accuracy loss, potentially making AI applications six times cheaper to run. This breakthrough could lead to lower costs for users, improved performance during peak hours, and broader accessibility of advanced AI features on consumer hardware.
Read the full article at Towards AI - Medium
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Ali NematiWritten by Ali
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