Recently, the latest technical paper released by the large model startup Kimi (Moonshot AI), "Attention Residuals: Rethinking depth-wise aggregation," has attracted widespread attention in the industry. Elon Musk, CEO of Tesla, publicly praised the research on social media, calling it "Impressive work" from Kimi.
In response, Kimi's official account interacted and praised Musk's "also good at building rockets," which quickly became a hot topic in the global AI technology community.
In this study, Kimi proposed a new "Attention Residuals" method, aiming to challenge and improve the long-standing fixed accumulation residual connection pattern in large models. This technology replaces traditional recursive structures with a more flexible depth-wise aggregation mechanism. This innovation means that the model can break through the limitations of existing computation paths when processing highly complex contextual information, significantly improving the expression accuracy and processing efficiency of long sequence data.
