Training a model to handle 128K context isn't just running inference on longer sequences — it requires a dedicated mid-training phase because positional encoding, attention entropy, and information retrieval all break in distinct ways beyond the training window.
Training a model to handle 128K context isn't just running inference on longer sequences — it requires a dedicated mid-training phase because positional encoding, attention entropy, and information retrieval all break in distinct ways beyond the training window.
Attention is permutation-invariant. Positional encodings break that symmetry. The choice of encoding method determines whether your model can generalize to longer sequences than it trained on.
Attention is permutation-invariant. Positional encodings break that symmetry. The choice of encoding method determines whether your model can generalize to longer sequences than it trained on.