Model Evaluation Insights
Sameer and Nathan discuss the importance of human-centric model evaluation, emphasizing the need for explanations that resonate with users rather than just mathematical interpretations. They delve into the limitations of gradient-based methods in truly understanding model behavior, highlighting the complexity of interpreting model decisions beyond mere mathematical computations.In this clip
From this podcast
NLP Highlights
117 - Interpreting NLP Model Predictions, with Sameer Singh
Related Questions
What is the challenge around explainability in AI as discussed in the episode 117 - Interpreting NLP Model Predictions, with Sameer Singh and the clip Feature Attribution Methods?
Can neural networks be explained in the context of the episode 117 - Interpreting NLP Model Predictions, with Sameer Singh and the clip Feature Attribution Methods?