Causality, LLMs & Abstractions || Matej Zečević || Causal Bandits Ep. 000 (2023)
Causal Bandits Podcast
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Causality and Large Language Models
This chapter explores the intersection of model-free reinforcement learning and large language models, focusing on the importance of transparency and ethical considerations in AI. It examines the role of causal knowledge in training LLMs and discusses the complexities of causal reasoning, emphasizing the need for deeper understanding through empirical evaluations. The dialogue also highlights the philosophical implications of trust and the relationship between experimental data and knowledge validation in the context of advanced AI models like GPT-3 and GPT-4.
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