A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
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