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Understanding AI Models and Conceptual Knowledge
This chapter delves into the semantic understanding and conceptual knowledge of AI models, discussing manipulations to focus on specific topics like the Golden Gate Bridge. It covers interpretability in models, the phenomenon of grokking through modular addition, and the importance of weight decay in preventing overfitting. The challenges in assessing AI progress, distinguishing memorization from comprehension, and the unpredictable nature of AI behavior are also explored in the conversation.