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Rotary Positional Embeddings

Method that encodes token position by rotating query and key vectors through a position-dependent angle, used across most current transformer language models.

Current clusters

build1 publisher

MLA's 512-Scalar KV Latent Cuts Cache 98%, Enabling 512 Concurrent 128k Streams

Decode is memory-bandwidth bound. Eight concurrent 128k Llama 3 70B streams need 97.8 ms of HBM transfer for every token generated, and DeepSeek's 512-scalar latent is aimed squarely at those bytes.

Publishers:dev.to

Reality

Evidence45
Adoption: Insufficient
Hype gap+40
Incentives50
Confidence50