@JJP Some of the question mentioned are answered in the FAQ document mentioned here. I will try to answer all the questions in the sequence posted.
- Azure OpenAI doesn't use customer data to retrain models. Content filtering system is in place to prevent abuse of the service and if content is flagged by the Azure OpenAI service’s content filters, the content may be reviewed by an authorized Microsoft full-time employee for the purposes as mentioned in the form. For more details about content filtering please see this page.
- If you need to store the data you would need to enable diagnostic logging on your resource and then store the data in any of the available sources. This is covered in the monitoring section of the documentation.
- Customer data is not used by MS to retrain the models. You will have to use fine tuning to improve the performance of your deployments.
- Yes, the keys are Microsoft managed unless you will choose to use customer managed keys(CMK).
- Content filtering system works by applying algorithmic detection to the prompts and completions at inference time to determine if content should be filtered. For the data that is used for training, finetuning and validation the filtering process is not enabled. You can also submit a request to modify the content filter and abuse monitoring policy for your subscription if applicable based on data submitted in this form.
- If CMK is not used all data that is encrypted is done my microsoft managed keys. The policy governing MS managed keys is same as cognitive services security/encryption management and the keys are periodically rotated and managed by MS.
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