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Analysts and researchers say Google's TurboQuant compression algorithm to make LLMs more efficient is more likely to expand memory chip demand than reduce it (Daniel Tudor/Financial Times) | Collector
Analysts and researchers say Google's TurboQuant compression algorithm to make LLMs more efficient is more likely to expand memory chip demand than reduce it (Daniel Tudor/Financial Times)
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Analysts and researchers say Google's TurboQuant compression algorithm to make LLMs more efficient is more likely to expand memory chip demand than reduce it (Daniel Tudor/Financial Times)

Daniel Tudor / Financial Times : Analysts and researchers say Google's TurboQuant compression algorithm to make LLMs more efficient is more likely to expand memory chip demand than reduce it —  More efficient artificial intelligence could mean even greater need for semiconductors, say experts

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