Using Vector in Engineering

TurboQuant Vector Quantization Cuts LLM Memory Use

TurboQuant vector quantization targets KV cache bloat, aiming to cut LLM memory use by 6x while preserving benchmark accuracy ...

GlobalSpec Insights

Automated test equipment: High-speed, wideband vector network analysis in production environments

This wideband capability allows engineers to address diverse applications including broadband RF and microwave component ...

Electronic Specifier

Vector Photonics achieves world-first PCSEL demo across the Clyde

Scottish deeptech company Vector Photonics has reached a milestone in laser communications, completing the world's first ...

14d

Vera Clinic and Appsilon Unveil Vector 10: The World's First CVD Lab-Grown Diamond-Tipped Blade Engineered for Hair Transplant Surgery

Independent validation confirms the CVD diamond blade outperforms sapphire by up to 15x in sharpness longevity - marking a breakthrough moment for the global hair restoration industry ISTANBUL, TURKEY ...

Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

16d

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...