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XAI and LLM Interpretability Review by ucingng is a document available to read on EtoBox.

This systematic literature review explores the intersection of Explainable AI (XAI) and the interpretability of Large Language Models (LLMs), highlighting methodologies like SHAP and LIME that enhance model transparency. It identifies challenges such as the complexity of LLMs and the need for user-centric approaches to improve understanding and trust in AI systems, particularly in high-stakes domains like healthcare and finance. The review emphasizes the importance of developing tailored interpretability me

Author

ucingng

Language

EN