--- title: Evaluation of generative AI techniques for clinical... description: This post evaluates generative AI techniques, such as zero-shot and few-shot prompting, and the Retrieval Augmented Generation (RAG) prompt engineering... canonical: https://daily.dev/posts/evaluation-of-generative-ai-techniques-for-clinical-report-summarization-29t3deguy twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Evaluation of generative AI techniques for clinical report summarization | daily.dev og:description: This post evaluates generative AI techniques, such as zero-shot and few-shot prompting, and the Retrieval Augmented Generation (RAG) prompt engineering... og:url: https://daily.dev/posts/evaluation-of-generative-ai-techniques-for-clinical-report-summarization-29t3deguy og:image: https://api.daily.dev/og/posts/29t3DeGuY.png og:image:alt: Evaluation of generative AI techniques for clinical report summarization og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Evaluation of generative AI techniques for clinical report summarization **[AWS](https://daily.dev/sources/aws)** · 11 min read · 0 upvotes · 0 comments ## Summary 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. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#genai](https://daily.dev/tags/genai), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#amazon-bedrock](https://daily.dev/tags/amazon-bedrock) [View this post on daily.dev](https://daily.dev/posts/evaluation-of-generative-ai-techniques-for-clinical-report-summarization-29t3deguy) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Evaluation of generative AI techniques for clinical report summarization","url":"https://daily.dev/posts/evaluation-of-generative-ai-techniques-for-clinical-report-summarization-29t3deguy","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/evaluation-of-generative-ai-techniques-for-clinical-report-summarization-29t3deguy"},"datePublished":"2024-05-13T19:23:57.058Z","dateModified":"2024-05-13T19:23:56.011Z","description":"This post evaluates generative AI techniques, such as zero-shot and few-shot prompting, and the Retrieval Augmented Generation (RAG) prompt engineering...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b255002540d317a2276ec8a7421762ac?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b255002540d317a2276ec8a7421762ac?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"AWS","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"AWS","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/aws","url":"https://daily.dev/sources/aws"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/evaluation-of-generative-ai-techniques-for-clinical-report-summarization-29t3deguy","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"genai,prompt-engineering,amazon-bedrock","timeRequired":"PT11M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"AWS","item":"https://daily.dev/sources/aws"},{"@type":"ListItem","position":3,"name":"Evaluation of generative AI techniques for clinical report summarization"}]} ```