Definition
Evaluation date tells readers when the evidence was created. It is especially important for AI agents because model behavior, pricing, and product features can change.
The date when a benchmark run, task result, or comparison was produced.
Evaluation date tells readers when the evidence was created. It is especially important for AI agents because model behavior, pricing, and product features can change.
A ranking without a date can mislead readers. Freshness helps teams decide whether evidence should be trusted, rerun, or treated as historical.
A leaderboard article states that its preview seed runs were generated on a specific date.