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Balancing Model Outputs with Human Judgment
When using language models like LLM, it's advisable to view them as initial guidance rather than final answers. It's effective to utilize LLMs to narrow down search options and then employ a symbolic system to refine the correct answer. However, blind trust should be avoided in the outputs of these models. It's crucial to maintain a balance between models structured by programmers and those that learn structures from vast data sets, avoiding over-reliance on machine intelligence alone.