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Localizing and Editing Knowledge in LLMs with Peter Hase - #679
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Long-Term Focus on Neural Network Interpretability
Long-term focus on neural network interpretability lies in understanding the overall behavior rather than delving into individual mechanisms. Historical progress in neural network optimization has been achieved by setting objectives and supervising models without needing to comprehend every internal mechanism. One project related to interpretability involves identifying components in neural networks responsible for specific functionalities.
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