{"id":183685,"date":"2024-04-17T06:40:00","date_gmt":"2024-04-17T05:40:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=183685"},"modified":"2024-10-09T08:46:22","modified_gmt":"2024-10-09T07:46:22","slug":"few-shot-prompting-refine-your-generative-ai-results","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/few-shot-prompting-refine-your-generative-ai-results","title":{"rendered":"Few-Shot Prompting: Refine your generative AI results"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"183685\" class=\"elementor elementor-183685\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b615b9a e-flex e-con-boxed e-con\" data-id=\"b615b9a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b5b79b8 elementor-widget elementor-widget-heading\" data-id=\"b5b79b8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">With the democratisation of artificial intelligence tools, users are discovering infinite possibilities. Provided they know how to talk to AI. And to do that, there are several prompt engineering techniques. One of the most popular is Few-Shot Prompting. Find out more about this method.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f647a60 e-flex e-con-boxed e-con\" data-id=\"f647a60\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1587dba elementor-widget elementor-widget-heading\" data-id=\"1587dba\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Few-Shot Prompting?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7dfc7e elementor-widget elementor-widget-text-editor\" data-id=\"e7dfc7e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Few-Shot Prompting<\/strong> is a prompt engineering technique that involves showing the <a href=\"https:\/\/datascientest.com\/en\/fine-tuning-what-is-it-what-is-it-used-for-in-ai\">AI<\/a> a few examples (or shots) of the desired results. Using the examples provided, the model learns a specific behaviour, enabling it to carry out similar tasks.<\/p><p>For example, a marketing manager could use this Prompting technique to classify customer comments as positive or negative. To do this, he <strong>presents the AI with several comments<\/strong>, specifying whether they are positive or negative.<\/p><p>Using these examples, the language model should be able to identify the patterns associated with positive and negative feelings. It will then be able to <a href=\"https:\/\/datascientest.com\/en\/classification-algorithms-definition-and-main-models\">classify the other comments.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-05bf269 e-flex e-con-boxed e-con\" data-id=\"05bf269\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be82249 elementor-widget elementor-widget-heading\" data-id=\"be82249\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why use Few-Shot Prompting?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18a498b elementor-widget elementor-widget-text-editor\" data-id=\"18a498b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Since <a href=\"https:\/\/datascientest.com\/en\/autogpt-discover-the-new-tool-that-makes-chatgpt-autonomous\">ChatGPT<\/a> was democratised, some users have seen it as a revolutionary tool, while others still doubt its capabilities.<\/p><p>The difference between the two? Mastery of prompts. And in particular its techniques such as few shot Prompting.<\/p><p>Indeed, large language models <a href=\"https:\/\/datascientest.com\/en\/large-language-models-llm-everything-you-need-to-know\">(LLMs)<\/a> like ChatGPT are trained with massive volumes of data. But all this information is supposed to meet the needs of as many people as possible.<\/p><p>However, if you ask it to carry out a specific task, there is a high risk that it will provide you with a very general response, far removed from your initial expectations.<\/p><p>Few-Shot Prompting is essential for refining <a href=\"https:\/\/datascientest.com\/en\/exploring-the-boundaries-of-artificial-intelligence\">artificial intelligence<\/a> responses. In this sense, it&#8217;s a formidable fine-tuning strategy.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e5e5aa8 elementor-widget elementor-widget-image\" data-id=\"e5e5aa8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/Few-Shot-Prompting1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a99762a elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a99762a\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn how to use Few-Shot Prompting<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f44c86c e-flex e-con-boxed e-con\" data-id=\"f44c86c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b16e934 elementor-widget elementor-widget-heading\" data-id=\"b16e934\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How to use Prompting in Few-Shot?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-278860a elementor-widget elementor-widget-text-editor\" data-id=\"278860a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To obtain truly relevant results with <strong>Few-Shot Prompting<\/strong>, you need to apply the right methods.<strong> Here are a few tips:<\/strong><\/p><ul><li><strong>Structure your prompt properly:<\/strong> the examples proposed always consist of two values: the value to be analysed and the desired result.<\/li><li><strong>Provide the right format:<\/strong> the<a href=\"https:\/\/www.deepip.ai\/blog\/generative-ai-how-generative-tech-is-shaping-the-future-of-law\"> generative AI<\/a> tool will present you with output data that is identical to the data you provide as input.<\/li><li>So your shots must indicate the exact format you want. For example, &#8220;surname; first name; profession; age&#8221;.<\/li><li>Provide a sufficient number of examples: in general, it is advisable to provide the AI with between 3 and 5 examples.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-27da1df e-flex e-con-boxed e-con\" data-id=\"27da1df\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-145bc36 elementor-widget elementor-widget-heading\" data-id=\"145bc36\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Discover prompt engineering with DataScientest<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6120fdf elementor-widget elementor-widget-text-editor\" data-id=\"6120fdf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As<a href=\"https:\/\/datascientest.com\/en\/google-improves-its-workspace-suite-with-artificial-intelligence\"> artificial intelligence<\/a> tools continue to develop, so do prompt engineering techniques. And not just <strong>Few-Shot Prompting<\/strong>. Other methods are appearing regularly. To find out which techniques are the most effective, it&#8217;s vital to get trained.<\/p><p>Fortunately, at DataScientest, we have created a course dedicated to prompt engineering. By the end of the programme, you&#8217;ll know how to communicate effectively with the major language models, obtaining all the results you want.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec94573 elementor-widget elementor-widget-image\" data-id=\"ec94573\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/Few-Shot-Prompting2.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e55770d elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"e55770d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Starting prompt engineering training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3c438c6 elementor-widget elementor-widget-html\" data-id=\"3c438c6\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is Few-Shot Prompting?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Few-Shot Prompting is a prompt engineering technique that consists of showing the AI a few examples (or shots) of the desired results. 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Few-Shot Prompting is a prompt engineering technique [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":183686,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Few-Shot Prompting: Refine your generative AI results<\/title>\n<meta name=\"description\" content=\"Few-shot prompting is particularly useful when users want to control or influence the output of generative models ...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/few-shot-prompting-refine-your-generative-ai-results\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Few-Shot Prompting: Refine your generative AI results\" \/>\n<meta property=\"og:description\" content=\"With the democratisation of artificial intelligence tools, users are discovering infinite possibilities. 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