Last week, DeepMind announced it discovered a more efficient way to perform matrix multiplication, conquering a 50-year-old record.

UC Santa Cruz researchers show that it is possible to eliminate the most computationally expensive element of running large language models, called matrix multiplication, while maintaining performance ...