← All questions
Training & Fine-tuningHard· Scaling Laws· Model Architecture

A researcher proposes a new attention variant. How do y...

The decision should be based on scaling-law comparisons rather than small-scale benchmarks. Train both the new architecture and the baseline at 3-5 compute levels spanning 2-3 orders of magnitude. If the new variant maintains a consistent parallel offset below the baseline, you can quantify the compute-efficiency gain. If the curves cross, you must analyze whether the advantage emerges before or after your target compute level to determine if the investment is justified.

Code playground (Python)