Deployed Azure AI Language model expires in 6 months

Ho, Michael, Superior Court 0 Reputation points
2023-02-17T19:28:51.5933333+00:00

I am developing on Azure with a Visual Studio subscription. I noticed that my language model deployed have an expiry date of about 6 months from time of deployment. Is this expected?

Do I have to retrain and redeploy every 6 months.

Thanks

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  1. YutongTie-MSFT 53,971 Reputation points Moderator
    2023-02-18T19:25:28.05+00:00

    Hello Ho, Michael, Superior Court

    Thanks for reaching out to us, the reason why you got this notification should be your model is custom, let me share some model lifecycle information to you. I hope this can help you understand more.

    There is a expiration time here - As new training configs and new functionality become available; older and less accurate configs are retired, see the following timelines for configs expiration:

    New configs are being released every few months. So, training configs expiration of any publicly available config is six months after its release. If you have assigned a trained model to a deployment, this deployment expires after twelve months from the training config expiration. If your models are about to expire, you can retrain and redeploy your models with the latest training configuration version.

    After training config version expires, API calls will return an error when called or used if called with an expired config version. By default, training requests will use the latest available training config version. To change the config version, use trainingConfigVersion when submitting a training job and assign the version you want.

    It's recommended to use the latest supported config version

    You can train and deploy a custom AI model from the date of training config version release, up until the Training config expiration date. After this date, you will have to use another supported training config version for submitting any training or deployment jobs.

    Deployment expiration is when your deployed model will be unavailable to be used for prediction.

    Use the table below to find which model versions are supported by each feature:

    User's image

    I hope this helps, please let me know if you have more questions, I am happy to help you.

    Regards,

    Yutong

    -Please kindly accept the answer and vote 'Yes' if you feel helpful to support the community, thanks a lot.

    Reference document - https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/concepts/model-lifecycle

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