Unverified50% confidenceFactExact time
Exact continuous-time sampling typically requires one model evaluation per token in sequence, so the number of evaluations is proportional to the number of tokens.
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Long-term
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11/6/2026
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UnverifiedWhen evaluating Agents, model versions and sampling parameters should be fixed, and multiple runs should report mean, quantiles, and confidence intervals—reporting a single score alone is not credible.73% similarUnverifiedAnalyzing multiple time series often involves aligning timestamps, computing correlations, detecting anomalies, or training forecasting models, and these tasks require the complete time series as input.73% similarUnverifiedThe evaluation suite is itself a model with precision and recall relative to human judgment, and both should be tracked.72% similarUnverifiedThe course suggests running it multiple times in actual operation (e.g., ten times) and observing the proportion of times the model stably gives answers that meet business requirements according to the prompt, in order to evaluate the effectiveness of the examples.71% similarUnverifiedContinuous evaluation should involve periodically backtesting agent performance using real task sets, rather than looking only at one-time accuracy rates.71% similar
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