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3min chapter
Introducing "Training Data," a new podcast from Sequoia about the future of A.I.
Crucible Moments
Pairwise Testing and Human Involvement in AI Evaluation
Exploring the significance of pairwise testing in AI training data assessment, contrasting it with traditional software testing approaches, and underlining the importance of ongoing improvement tracking and human involvement for enhanced reliability. The discussion also praises notable figures and organizations in the AI domain, including OpenAI, researcher David Dohan, and companies like Facebook for their impactful roles in advancing AI technology.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode