Generative AI in Testing
Model-based testing and lexical approaches have made strides, yet challenges remain. Generative AI, particularly through large language models, offers a transformative method for test code generation by leveraging vast datasets and natural language processing. This innovative approach moves beyond traditional algorithms, learning from real-world examples to enhance code generation and testing, though it still faces limitations.In this clip
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Software Engineering Radio - the podcast for professional software developers
SE Radio 603: Rishi Singh on Using GenAI for Test Code Generation
Related Questions
I have a question about the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip Evaluating AI Reasoning. Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269?
Can you tell me how IBM approaches generative AI?
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) in the context of the episodes Why Your RAG Pipeline Is Broken, and How to Fix It with Jason Liu - 709 and Trusting Intuition in AI?