Neural Networks, Language Models
Tim discusses how neural networks learn concepts like motorcycle wheels, while critiquing the current machine learning approach. He highlights the importance of logical reasoning in language models, contrasting it with the data-driven methods prevalent today.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Explainability, Reasoning, Priors and GPT-3
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