How to Safeguard your generative AI applications in Azure AI
With Azure AI, you have a convenient one-stop-shop for building generative AI applications and putting responsible AI into practice. Watch this useful video to learn the basics of building, evaluating and monitoring a safety system that meets your organization's unique requirements and leads you to AI success.
Azure AI is a platform designed for building and safeguarding generative AI applications. It provides tools and resources to implement Responsible AI practices, allowing users to create, evaluate, and monitor safety systems for their applications.
How does Azure AI Content Safety work?
Azure AI Content Safety monitors text for harmful content such as violence, hate, and self-harm. It allows customization of blocklists and severity thresholds, and it also monitors images for safety. Advanced features include Prompt Shields for detecting prompt injection attacks and Groundedness Detection for identifying ungrounded outputs.
How can I evaluate my AI application's safety?
Before deploying your application, use Azure AI Studio’s automated evaluations to test for vulnerabilities and the potential to generate harmful content. The evaluations provide severity scores and explanations to help identify and mitigate risks effectively.
How to Safeguard your generative AI applications in Azure AI
published by Natural Intelligent Systems
Who Are Natural Intelligent Systems
We’re a systems integrator and managed services provider that designs manages and optimises today’s evolving technology environments to enable its clients to leverage data in a digital age.
Founded in 1988, and headquartered in Johannesburg, we are a small independent information communication technology (ICT) company, supported by a group of global technology companies.
We invest in innovation and training to bring together the world’s best technologies, from consulting, technical and support services to a fully managed service, to our client base.
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