Displays information about the model's

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This ensures that the final results are accurate, reliable and based on solid information . This functionality is essential to maintain the integrity and trust in AI solutions, especially in critical applications where the accuracy of information is vital.

Detecting protected material for development code
Another important update in Azure AI Content Safety is the detection of protected material in development code . This feature helps identify and block the use of pre-existing code by checking for matches in public GitHub repositories.

By doing so, transparency and collaboration albania telegram database within the development community is promoted , ensuring that the code used is original and complies with intellectual property regulations. This tool is especially useful for developers seeking to maintain high standards of ethics and legality in their projects.

Embedded Content Security Public Preview
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.





INFO.VIEW.MEASURES(): measurements, indicating whether they are in a valid or error state.






INFO.VIEW.COLUMNS(): Provides details about the columns, including the data category and data type.