New quality assessment capabilities in Azure AI Studio

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By doing so, transparency and collaboration within the development community is promoted , ensuring that the code used is original and complies with intellectual property regulations. This tool is especially useful for developers seeking to maintain high standards of ethics and legality in their projects.

Azure has also launched a public preview of embedded content security, offering a robust solution for developers looking to integrate generative AI capabilities directly into their devices.

This feature allows developers to deploy AI securely , protecting data and ensuring applications operate reliably. Embedded content security is a valuable addition for those looking to leverage AI capabilities without compromising the security of their systems .

Finally, Azure AI Studio has introduced new quality india whatsapp resource assessment capabilities , including assessments for protected material in outputs and new math-based quality metrics. These capabilities allow you to simulate typical user interactions with your application , generating high-quality tests that help improve the accuracy and reliability of AI solutions.

With these tools, developers can ensure that their AI applications are not only secure, but also high-quality and performant.

Azure Privacy Updates
Microsoft continues to strengthen its commitment to privacy in generative AI through several key updates to Azure . Below, we explore the key new features:

Encrypted data with the Whisper model in Azure OpenAI Service
One of the most innovative capabilities is the implementation of the Whisper model in Azure OpenAI Service, designed specifically for developers in highly regulated industries and enterprises. This functionality allows sensitive voice transcription data to be processed in the cloud , keeping the information encrypted even during processing.