[Non-record] Eval-time Adaptation: Stride-OGD + Two-Pass + NTK-RoPE#241
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kellyvv wants to merge 1 commit intoopenai:mainfrom
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[Non-record] Eval-time Adaptation: Stride-OGD + Two-Pass + NTK-RoPE#241kellyvv wants to merge 1 commit intoopenai:mainfrom
kellyvv wants to merge 1 commit intoopenai:mainfrom
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Three eval-time adaptation techniques
Stride-OGD: Online gradient descent on 1024-dim vocab bias, updated every stride (64 tokens). Exact gradient (no backprop), zero artifact cost, 16× faster feedback than TTT LoRA.
Two-Pass Eval: Pass 1 collects per-token gradients → Pass 2 re-scores with accumulated bias correction. Fits in 600s eval budget.
NTK-RoPE 4096: Eval at 4× context length without retraining via RoPE base rescaling.
All techniques include working code + synthetic demo. Run
python eval_stride_ogd.pyto verify.