Researchers upend AI status quo by eliminating matrix multiplication in LLMs
Enlarge / Illustration of a brain inside of a light bulb. reader comments 100 Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations that are currently accelerated by GPU chips. The findings, detailed in a recent… Read More »