23The model authors publish a new revision. How do you roll it out without a quality regression?▼mediumBasetenTogether AIModal4 replies◆ premiumA minor revision can change weights, encoding or response behavior. Compare pinned deployment bundles, evaluate task slices, monitor a representative canary and keep enough capacity to restore the old service.Open full answer →
26You upgraded the serving engine and throughput fell 15 percent. Find the cause.▼hardFireworks AITogether AIBaseten4 replies◆ premiumVerify the throughput definition and service outcomes, compare resolved configurations and execution traces, then isolate supported changes. Quantify capacity replacement correctly and choose rollback from the full release risk.Open full answer →
32Your agent product's tool-call success rate fell from 94 to 61 percent after a deploy. Debug it.▼mediumBasetenTogether AIModal4 replies◆ premiumA partial drop does not rule out the parser. Define success and its denominator, trace failures through encoding, generation, parsing and execution, then replay the relevant boundary with controlled versions.Open full answer →
33Design the evaluation you run against a serving deployment, not against a model.▼hardTogether AIBasetenFireworks AI4 replies◆ premiumTest the complete serving bundle with contract fixtures, representative tasks and load-aware outcomes. Preserve paired results, calibrate the scorer and distinguish a relative improvement from meeting an absolute product requirement.Open full answer →