Leveraging LLMs for Causal Reasoning
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Published on ● Video Link: https://www.youtube.com/watch?v=jGPJUEeD2CI
Can GPT-4 truly reason about cause and effect? Dive into how large language models like GPT-4 tackle causal tasks, with shocking 96% accuracy on known relationships! Learn why domain knowledge is the secret sauce, how directional prompting outperforms vague queries. We dissect a landmark study showing LLMs can reconstruct expert-level causal graphs (like neuropathic pain diagnosis) but can’t discover new causal links, they’re knowledge retrievers, not pioneers.
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