How Test-Time Training Layers Break the Transformer Context Limit
Discover how Test-Time Training layers bypass the Transformer memory bottleneck by replacing the static KV cache with an active, self-updating neural network. Learn how this architectural breakthrough enables near-infinite context scaling on consumer hardware.
