Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Spell checking is such a ubiquitous feature of today's software that we expect to see it in browsers and basic text editors, and on just about every computing device. However, 50 years ago, it was a ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

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