Causal Agent based on Large Language Model

The episode discusses a paper titled "Causal Agent based on Large Language Model." The authors developed an agent framework that uses LLMs to perform causal reasoning by giving them access to specialized analysis tools. This approach successfully addresses the difficulty LLMs have with cause-and-effect problems, achieving high accuracy across various levels of complexity.

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