Just Tell Me: Prompt Engineering in Business Process Management - Summary
Blog post from Portkey
The paper explores the application of prompt engineering to enhance the use of pre-trained language models (LMs) in business process management (BPM) tasks, highlighting both its potential and challenges. It suggests that while fine-tuning LMs for BPM tasks typically demands substantial amounts of training data, prompt engineering can mitigate this requirement by using natural language task specifications or prompts at inference time. This approach not only addresses the issue of limited downstream data but also shows promise in a wide array of NLP tasks related to BPM. By employing prompt engineering, the need for highly specialized techniques and large training datasets can be significantly reduced, making it a valuable method for improving the efficiency and effectiveness of NLP applications in BPM contexts.
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