Tips for debugging Training-Inference Mismatch (T.I.M)
rosstaylor90 · x · 2026-08-15
GenReasoning CEO shares tips for debugging T.I.M:
- Scale paradox: Debugging on a bigger model in a single step can sometimes be more effective than starting small.
- Long context: T.I.M often surfaces here due to indexing math (e.g., low precision limits).
- Precision: Emphasized as critical.
- Real data: Always debug with actual data sampled from training workloads, including routing indices.
Related event: GenReasoning CEO Fixes Sonic-Moe Kernel Bug, Shares T.I.M Debugging Lessons(2 posts)→
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