BITESIZE | Practical Applications of Causal AI with LLMs, with Robert Ness
Learning Bayesian Statistics
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Exploring Inductive Biases in Deep Learning and Causal Inference
This chapter delves into the relationship between deep learning and causal inference, highlighting the significance of inductive biases in machine learning. The discussion emphasizes the importance of explicitly defining these biases to enhance the evaluation of AI models through a causal framework.
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