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

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

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

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “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 ...

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

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...