Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Evaluating NLP Model Robustness
This chapter explores various testing methodologies for assessing NLP models, including minimum functionality and fairness tests. It emphasizes the significance of the Checklist tool in identifying unknown issues and enhancing model evaluation practices. The discussion also extends to adapting these testing principles to other domains, such as computer vision, to ensure comprehensive performance assessments.
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