Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Kolena, a startup building tools to test, benchmark and validate the performance of AI models, today announced that it raised $15 million in a funding round led by Lobby Capital with participation ...

Federal agencies can test and measure the biases of the artificial intelligence models they are experimenting with through the new governmentwide AI evaluation tool, USAi, according to David Shive, ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

What if the secret to faster, smarter coding was hiding in plain sight? As artificial intelligence continues to transform software development, the race to identify the most effective AI tools and ...

How the combination of AI and flexible, software-defined instrumentation is poised to revolutionize the test and measurement industry. How AI tools can significantly enhance the efficiency of data ...

Latent class models (LCMs) have emerged as a vital statistical tool in the evaluation of diagnostic tests, particularly in settings where no definitive gold standard is available. These models operate ...