Continuously compares models, prompts, quality, latency, and cost.
ModelWatch runs repeatable evaluations, tracks version changes and quality drift, and shows accuracy, speed, and cost tradeoffs for each use case.
@mayachen
Product experience
Quality, latency, and cost sit in one view, which makes release decisions easier to explain. Saved evaluation sets also keep comparisons repeatable across model updates.
Use caseComparing production prompt versions
@avasingh
Product experience
The dashboard points to failing examples instead of only showing a score change. That shortens the path from an alert to a concrete prompt or dataset fix.
Use caseMonitoring support automation
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