This post evaluates generative AI techniques, such as zero-shot and few-shot prompting, and the Retrieval Augmented Generation (RAG) prompt engineering technique for clinical report summarization. The evaluation results show that the RAG approach performs the best among the techniques. The post also provides an overview of prompt engineering techniques, such as prompt structure and prompt templates, and discusses the dataset and experimental setup. Additionally, the post highlights the performance analysis of the techniques using the ROUGE score.
Table of contents
Solution overviewTechniques and experimentationPrerequisitesKey steps in implementationEvaluationCleanupConclusion110 Impressions