Core Concepts
Prompt engineering is a critical technique in natural language processing, enhancing model performance in healthcare applications through effective prompts.
Abstract
The content delves into the significance of prompt engineering in healthcare, focusing on methodologies and applications. It covers the development of prompt engineering, its contributions to healthcare NLP applications, challenges, future directions, and various types of prompts used. The article emphasizes the importance of prompt design for tasks such as classification, generation, detection, augmentation, question-answering, and inference in the medical field.
Stats
"The patient’s CT scan results show: [tumor type]" can steer a model to generate “thymoma”.
HealthPrompt applies prompt-based learning to classify clinical texts without training data.
ChatGPT demonstrates strong zero-shot performance in mental health classification.
DeID-GPT de-identifies text-free medical data using GPT-4's NLP capabilities.
Quotes
"Prompt engineering is a critical technique in the field of natural language processing."
"With recent advancements in large language models, prompt engineering has shown significant superiority across various domains."
"The aim is to provide useful resources and bridges for healthcare natural language processing."