Just Tell Me: Prompt Engineering in Business Process Management. (arXiv:2304.07183v1 [cs.AI])

GPT-3 and several other language models (LMs) can effectively address various
natural language processing (NLP) tasks, including machine translation and text
summarization. Recently, they have also been successfully employed in the
business process management (BPM) domain, e.g., for predictive process
monitoring and process extraction from text. This, however, typically requires
fine-tuning the employed LM, which, among others, necessitates large amounts of
suitable training data. A possible solution to this problem is the use of
prompt engineering, which leverages pre-trained LMs …

arxiv bpm business business process business process management data engineering extraction fine-tuning gpt gpt-3 language language models language processing machine machine translation management monitoring natural natural language natural language processing nlp predictive process processing prompt solution summarization text text summarization training training data translation