OpenAI Moderation API: Ensuring Safety in Generated Content(Development of Large Model Applications 20)

Ensure safety in generative AI with OpenAI's Moderation API. Detect risks like hate speech, threats, and violence for compliant content.

Hello everyone, welcome to the "Development of Large Model Applications" column.

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Today, we will discuss a critical topic in generative AI application development: using the Moderation API to review generated content for safety and compliance.

With the rapid growth of large language models, developers can quickly build smart applications, like chatbots and content generation platforms, using model APIs.

However, the content generated by language models is not always as expected and may include inappropriate, harmful, or illegal content.

This can affect user experience and pose legal and reputational risks to companies.

Thus, content moderation is essential when developing production-level systems or deploying large models.

OpenAI's Moderation API offers a simple and effective solution for this problem.

By calling the Moderation API, we can automatically detect various risks in text, including hate speech, threats, sexual content, and violence.

The Moderation API uses a classification model trained on large datasets and can accurately identify over 10 types of harmful content.