Requests failing for Slam-1 model

We have continued to see good performance for requests using Slam-1 and are now marking this issue as resolved.

Success rates and turnaround times for requests using Slam-1 have returned to normal ranges, but we are continuing to monitor traffic to ensure continued good performance.

We are still seeing good success rates for requests using the Slam-1 model, but we are still seeing occasional slower-than-usual processing times, which we are working to address.

We are once again starting to see requests using Slam-1 succeed, but we are still working to fully resolve the issue. We will follow up with another update once the issue has been fully mitigated.

We are now seeing increased error rates and failures for requests using the Slam-1 model so we are elevating this issue to a partial outage. Requests using Universal are working normally, so consider using that model as a short-term workaround if needed. Our team is working to resolve this issue as quickly as possible.

We are currently seeing longer-than-usual turnaround times for pre-recorded audio transcriptions that are using our Slam-1 model. Requests using the Universal model are unaffected. We are working to address this issue and will provide an update here as soon as possible.