1 hours ago
Google Research Introduces “TurboQuant”
> TurboQuant is a compression algorithm that optimally addresses the challenge of memory overhead in vector quantization. Introduced alongside QJL & PolarQuant, two new quantization algorithms which it uses to achieve its results.
> It reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency.👇
Source: https://research.google/blog/turb...
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〽️ Crypto Pulse 👉 @degendaoinfo #crypto
> TurboQuant is a compression algorithm that optimally addresses the challenge of memory overhead in vector quantization. Introduced alongside QJL & PolarQuant, two new quantization algorithms which it uses to achieve its results.
> It reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency.👇
Source: https://research.google/blog/turb...
_
〽️ Crypto Pulse 👉 @degendaoinfo #crypto
