Overall, de-identification in today’s data-driven world is a critical practice that helps balance the benefits of AI and big data with the need for privacy and compliance, facilitating both technological innovation and protection of individual rights.
Overall, de-identification in today’s data-driven world is a critical practice that helps balance the benefits of AI and big data with the need for privacy and compliance, facilitating both technological...
In industries like healthcare, in which regulatory-grade accuracy is a requirement, human validation of model results is often a critical requirement. While models handle the legwork, the Generative AI Lab...
Classifying PDF documents using text-based classification models is a powerful capability Generative AI Lab provides. Users can now pre-annotate and classify images and PDF documents with over 1500 pre-trained models...
In Part 1 - Test Suites and Part 2- Generating Tests of this article, we presented how Generative AI Lab supports comprehensive functionality, enabling teams of domain experts to train,...
As presented in Part 1 - Test Suites of this article, Generative AI Lab supports comprehensive functionality, enabling teams of domain experts to train, test, and refine custom language models...
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