Microsoft’s new safety system detects hallucinations in AI apps used by customers.


Are you a user of Azure AI services looking to build more secure and trustworthy generative AI applications? Well, you’re in luck! Microsoft has just introduced new safety features that will make your job a whole lot easier. In a recent interview with Sarah Bird, Microsoft’s chief product officer of responsible AI, she discusses the innovative tools designed to detect vulnerabilities, monitor for hallucinations, and block malicious prompts in real time for Azure AI customers. Intrigued? Keep reading to learn more about these cutting-edge features.

Sub-Headline 1: Cutting-Edge Safety Features for Azure AI Users
Microsoft has announced the release of three key safety features for Azure AI customers. Prompt Shields, Groundedness Detection, and Safety Evaluations are now available in preview on Azure AI, with two more features on the way. These tools are designed to block prompt injections, identify and eliminate hallucinations, and assess model vulnerabilities to ensure a secure AI environment for users.

Sub-Headline 2: Customized Control for Bias Reduction and Filtering
In a world where bias reduction is crucial, Microsoft’s Azure AI tools offer users more control over the filtering of hate speech or violence that the model sees and blocks. This customization allows for a more tailored approach to ensuring ethical AI practices and reducing unintended consequences of bias reduction filters.

Sub-Headline 3: Monitoring and Reporting for Enhanced Safety
Looking to track and identify potential malicious users? Azure AI users can now receive reports of users attempting to trigger unsafe outputs, allowing system administrators to differentiate between red teamers and malicious actors. This added layer of monitoring and reporting enhances the overall safety and security of AI systems.

Sub-Headline 4: Compatibility with Popular AI Models
The safety features introduced by Microsoft are immediately compatible with popular models like GPT-4 and Llama 2. However, users of smaller, less popular open-source systems may need to manually point the safety features to their models. Nonetheless, these features offer a comprehensive approach to AI safety and security for all Azure AI users.

In conclusion, Microsoft’s new safety features for Azure AI users are a game-changer in the world of generative AI applications. By providing cutting-edge tools for vulnerability detection, hallucination monitoring, and prompt blocking, users can rest assured that their AI systems are secure and trustworthy. So why wait? Dive into the world of secure AI with Microsoft’s innovative tools today!

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