Google researchers introduce TurboQuant, a new compression algorithm that can reduce AI memory usage by at least six times while maintaining perfect accuracy, potentially cutting costs by 50% or more.
Researchers from King's College London and The Alan Turing Institute have developed xMemory, a new memory architecture that cuts token usage by nearly 50% while improving AI response quality.
Google researchers introduce TurboQuant, a new compression algorithm that can reduce AI memory usage by at least six times while maintaining perfect accuracy, potentially cutting costs by 50% or more.
Google Research unveils TurboQuant, a groundbreaking compression algorithm that reduces AI memory usage by at least six times while maintaining zero accuracy loss, promising to transform how large language models operate.