Influence of prompt paths on effect of ChatGPT aided emergency plan formulation
In order to explore the feasibility of artificial intelligence aided emergency plan formulation and effectively improve the efficiency of plan formulation,based on ChatGPT text feeding,two methods of case prompt and rule prompt were used to explore and try the large language model aided plan formulation technology,and the ROUGE method was used to evaluate the text performance of emergency plans under different prompt paths.The results show that the content text of relevant plans can be formed under the two paths.In terms of text performance,the case prompt method is superior to the rule prompt method as a whole,especially for the text content with strong structure,and the single case prompt is obviously superior to the multi-case prompt.However,the text performance of partial multi-case prompt with strong content flexibility can be significantly im-proved.The research results can provide data support and practical reference for the selection of prompt path when using simi-lar technologies to carry out the intelligence aided formulation of emergency plans.
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