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Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.
Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.
Morning Overview on MSN
Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...
They went on to show this approach could allow a quantum computer to break 256-bit elliptic curve cryptography (ECC) in 10 days while using 100 times less overhead than previously estimated. In a ...
ThreatsDay Bulletin covers stealthy attack trends, evolving phishing tactics, supply chain risks, and how familiar tools are ...
U.S. Gold Corp. ("US Gold" or the "Company") (NASDAQ: USAU) is pleased to announce the results of its Feasibility Study (the "FS") for the development ...
XDA Developers on MSN
TurboQuant tackles the hidden memory problem that's been limiting your local LLMs
A paper from Google could make local LLMs even easier to run.
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