What is Azure OpenAI Content Filter?

Hello, Csharp family! Today, we are going learn something about the Azure OpenAI Content Filter, which is a feature designed to ensure that the content generated by AI models is safe and appropriate. It works alongside core models, including those used for text and image generation, to detect and filter out harmful content.

How Does Azure OpenAI Work?

In Azure OpenAI, the content filter uses a set of neural multi-class classification models to analyze both the input prompts and the output completions. These models are trained to detect harmful content across four main categories.

• Hate: Content that promotes hate speech or discrimination.
• Sexual: Explicit or inappropriate sexual content.
• Violence: Content that depicts or promotes violence.
• Self-Harm: Content that encourages or depicts self-harm.

Let's start a small demo of a content filter.

Once we redirect to the Azure OpenAI service, at the bottom, there is one model called Content Filter. Please tap on 'create content filter'. Then

Enter one unique name for this model and tap on NEXT.

Now we can add some input filters based on the category.

After that, please add some output filters as well.

Finally, if you have any deployments already, please add these content filters to those deployments.

At least you can review and submit it.

Customization and Configuration

One of the key features of the Azure OpenAI Content Filter is its customizability. Users can configure the filter to different levels of strictness depending on their needs. For example, you can set the filter to block content detected at medium and high severity levels while allowing low-severity content to pass through. The configuration can be done at the resource level, and once set, it can be applied to multiple deployments. This flexibility allows users to tailor the content filtering to their specific requirements.

Real-World Applications

The content filter is particularly useful in various applications, such as,

• Customer Service Chatbots: Ensuring that the responses generated by the chatbot are appropriate and do not offend users.
• Content Creation Tools: Make sure that the AI-generated content for websites, blogs, or social media is safe and suitable for the audience.
• Educational Platforms: Preventing the dissemination of harmful or inappropriate content to students.

Conclusion

Finally, the Azure OpenAI Content Filter is a powerful tool that helps maintain the safety and appropriateness of AI-generated content. Its customizable nature allows users to set the level of filtering according to their needs, making it an essential feature for anyone using AI in their applications.