A model leaderboard wasn't enough. We kept the ledger.
Comparing local models gets confusing when the results come from different machines, runtimes, and test suites. A run that completed two cases can show a high quality score, but it doesn't tell you how the model handled the rest of the workload. The model ledger brings the lab results into one tabl…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-10 00:12 · DEV Community — Machine Learning
A model leaderboard wasn't enough. We kept the ledger.