Encrypted data with the Whisper model in Azure OpenAI Service
Posted: Wed Jan 08, 2025 3:38 am
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 .
New quality assessment capabilities in Azure AI Studio
Finally, Azure AI Studio has introduced new quality 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 your 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 qatar whatsapp resource commitment to privacy in generative AI through several key updates to Azure . Below, we explore the key new features:
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.
This is crucial for industries that require high levels of security when managing sensitive data, such as healthcare, banking and government . By keeping data encrypted at all times, you ensure that information is protected from unauthorized access and potential security breaches.
General availability of differential virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs
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 .
New quality assessment capabilities in Azure AI Studio
Finally, Azure AI Studio has introduced new quality 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 your 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 qatar whatsapp resource commitment to privacy in generative AI through several key updates to Azure . Below, we explore the key new features:
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.
This is crucial for industries that require high levels of security when managing sensitive data, such as healthcare, banking and government . By keeping data encrypted at all times, you ensure that information is protected from unauthorized access and potential security breaches.
General availability of differential virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs