Summary
In this conversation, Martin Hynie and Bill Matthews explore the evolving landscape of AI testing, discussing the challenges testers face with GenAI and Machine Learning systems.
They delve into the shift in mindset regarding what constitutes effective testing in an AI-driven world. The discussion highlights the necessity for testers to adapt to new methodologies and frameworks to ensure quality and relevance in AI applications.
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