Attention Residuals: How Kimi Is Rethinking Transformer Depth
Kimi's Attention Residuals replace fixed residual connections with learned layer aggregation. What it means for LLM depth.
#llm-architecture
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Kimi's Attention Residuals replace fixed residual connections with learned layer aggregation. What it means for LLM depth.