Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation
Towards Data Science
This article discusses the problem of overfitting in Retrieval-Augmented Generation (RAG) evaluation, comparing it to memorizing for an exam without truly understanding the subject. It highlights how evaluation metrics can be misleading if models are tuned to specific test sets rather than generalizing to real-world scenarios.
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