Budget the teacher output without changing the target
Choose a scorer output contract before sizing its buffers. Compare dense, selected-token and sparse outputs, then preserve the loss normalization when processing positions in chunks.
15 MIN · PREMIUM
By InferenceInterviews · Updated
Course lessons Lesson 3 of 6
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