An awesome repository & A comprehensive survey on interpretability of LLM attention heads.
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Updated
Sep 12, 2024 - TeX
An awesome repository & A comprehensive survey on interpretability of LLM attention heads.
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Interpreting neural networks by reducing nonlinearities during training
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