{"id":183411,"date":"2024-04-16T02:51:00","date_gmt":"2024-04-16T01:51:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=183411"},"modified":"2024-03-23T17:04:19","modified_gmt":"2024-03-23T16:04:19","slug":"advanced-prompt-engineering-what-does-it-involve","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve","title":{"rendered":"Advanced Prompt Engineering: What does it involve?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"183411\" class=\"elementor elementor-183411\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f827f2d e-flex e-con-boxed e-con\" data-id=\"f827f2d\" 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-8a3d65d elementor-widget elementor-widget-heading\" data-id=\"8a3d65d\" 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 and large language models (LLMs), problem solving has been turned on its head. For many problems, it is no longer necessary to create a computer programme using a complex programming language. Instead, all you need is a good text prompt. <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c95269 elementor-widget elementor-widget-text-editor\" data-id=\"1c95269\" 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>More specifically, advanced prompt engineering, which is redefining the way we optimise the performance of language models such as <a href=\"https:\/\/datascientest.com\/en\/chatgpt-how-does-this-nlp-algorithm-work\">ChatGPT.<\/a><\/p><p>Discover the benefits of advanced prompt engineering in the<a href=\"https:\/\/datascientest.com\/en\/midjourney-the-ai-that-turns-your-ideas-into-images\"> age of AI,<\/a> with 4 concrete examples of techniques you need to know.<\/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-5e4646a e-flex e-con-boxed e-con\" data-id=\"5e4646a\" 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-b0f45fd elementor-widget elementor-widget-heading\" data-id=\"b0f45fd\" 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\">Advanced Prompt Engineering, a sophisticated approach to the use of LLMs<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5e4333 elementor-widget elementor-widget-text-editor\" data-id=\"a5e4333\" 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><strong>Advanced prompt engineering<\/strong> refers to the process of refining the input of a language model in order to obtain the desired output without modifying the actual model weights. It is a sophisticated approach that goes beyond traditional adjustments of model weights. Here, the focus is on skillfully refining the input to influence the desired output.<\/p><p>For example, to solve certain problems on <strong>GPT-3,<\/strong> a simple phrase was added: &#8220;Let&#8217;s think step by step&#8221;. The results are astonishing! The resolution rate for GPT-3 rose from 18% to 79%.<\/p><p>By <strong>developing well-structured prompts<\/strong>, you can guide language models to produce accurate and consistent results. But be careful, because to exploit their full potential, it&#8217;s not enough to simply ask questions. You need to optimise the inputs, with clear instructions, to influence the behaviour of the model and guarantee relevant results.<\/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-2092926 elementor-widget elementor-widget-image\" data-id=\"2092926\" 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\/2023\/12\/advanced_prompt_engineering1.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-28ec335 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"28ec335\" 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 Advanced Prompt Engineering<\/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-e15e2e6 e-flex e-con-boxed e-con\" data-id=\"e15e2e6\" 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-662eed4 elementor-widget elementor-widget-heading\" data-id=\"662eed4\" 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\">4 advanced prompt engineering techniques<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6435c41 elementor-widget elementor-widget-text-editor\" data-id=\"6435c41\" 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>Mastering <strong>advanced prompt engineering<\/strong> means knowing the different guided message techniques to achieve the desired result. Here are the most common techniques.<\/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-42d60a8 elementor-widget elementor-widget-heading\" data-id=\"42d60a8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Zero shots Prompt<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-841e3b4 elementor-widget elementor-widget-text-editor\" data-id=\"841e3b4\" 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><strong>Zero Shots Prompt<\/strong> is one of the first advanced Prompt engineering techniques. It simply involves asking a question or presenting a specific task to the language model. This is done without the model having been specifically pre-trained for the task or question. In other words, it has never been exposed to specific examples relating to this task during its training phase.<\/p><p>This approach is often used to assess the generalisability of a <a href=\"https:\/\/datascientest.com\/en\/large-language-models-llm-everything-you-need-to-know\">language model.<\/a> And for good reason, with the Zero shots prompt, it demonstrates that it is capable of responding to queries for which it was not <strong>explicitly programmed during its training.<\/strong><\/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-21faf1c elementor-widget elementor-widget-heading\" data-id=\"21faf1c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Chain of thought prompting (CoT)<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4cd21fd elementor-widget elementor-widget-text-editor\" data-id=\"4cd21fd\" 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><strong>Chain of Thought<\/strong> suggests a sequence of interconnected thoughts or ideas. Applied to machine learning, <strong>CoT<\/strong> improves the model&#8217;s performance on more complex reasoning tasks.<\/p><p>In concrete terms, the engineers behind this advanced prompt engineering technique have studied the generation of a human chain of thought. This involves a series of intermediate reasoning stages.<\/p><p>To apply these principles to language models, they need to be given a few demonstrations of chains of thought as examples. Then ask them to produce a few steps of reasoning before providing the final answer. <strong>This enables them to carry out complex reasoning.<\/strong><\/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-c1c3995 elementor-widget elementor-widget-image\" data-id=\"c1c3995\" 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\/2023\/12\/advanced_prompt_engineering2.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-54d4f9b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"54d4f9b\" 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\">Training in Advanced Prompt Engineering techniques<\/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-8adcd03 elementor-widget elementor-widget-heading\" data-id=\"8adcd03\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Self Consistency<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3c6c35c elementor-widget elementor-widget-text-editor\" data-id=\"3c6c35c\" 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>In science and engineering,<strong> self-consistency<\/strong> means that the different parts or components of a system interact in such a way as to maintain their internal coherence.<\/p><p>In machine learning, self consistency is an <strong>improved approach to CoT<\/strong> for solving even more complex reasoning problems.<\/p><p>Using this <strong>advanced prompt engineering<\/strong> technique, reasoning paths are sampled. This allows the language model to select the most consistent answer (without taking into account only the fastest path).<\/p><p>This prompting technique is particularly well suited to complex reasoning problems where several modes of thought exist to lead to a correct answer.<\/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-ad0d9a3 elementor-widget elementor-widget-heading\" data-id=\"ad0d9a3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">ReAct<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cc8d9d elementor-widget elementor-widget-text-editor\" data-id=\"7cc8d9d\" 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><strong>ReAct<\/strong> is an advanced prompt engineering technique developed in 2022. It is a synergy between Reasoning and Acting.<\/p><p>This method involves <a href=\"https:\/\/datascientest.com\/en\/the-new-champion-of-open-source-llm-falcon\">LLMs generating both reasoning and task-specific actions<\/a>. Reasoning helps the model to generate an action plan. Actions, on the other hand, facilitate access to external sources of knowledge. This makes it possible to gather additional information, and thus improve LLM reasoning.<\/p><p>With ReAct, reasoning and action are intimately intertwined to further improve the results of the language model.<\/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-2914fdf e-flex e-con-boxed e-con\" data-id=\"2914fdf\" 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-df5273c elementor-widget elementor-widget-heading\" data-id=\"df5273c\" 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\">Mastering advanced 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-56aaed0 elementor-widget elementor-widget-text-editor\" data-id=\"56aaed0\" 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>At a time when solutions based on<a href=\"https:\/\/datascientest.com\/en\/what-is-a-conditional-generative-adversarial-network-cgan\"> generative AI a<\/a>re multiplying, mastery of advanced prompt engineering is proving indispensable. Particularly for data science experts. To improve your language models, you will need to use advanced prompt engineering. But that&#8217;s not all. There are other techniques you need to know about to create high-performance LLMs. That&#8217;s why it&#8217;s a good idea to get trained with DataScientest.<\/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-de2ea8a elementor-widget elementor-widget-image\" data-id=\"de2ea8a\" 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\/2023\/12\/advanced_prompt_engineering3.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-a7f6805 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a7f6805\" 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\">Training in Advanced Prompt Engineering<\/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-77723a1 elementor-widget elementor-widget-html\" data-id=\"77723a1\" 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 Advanced Prompt Engineering?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Advanced prompt engineering refers to the process of refining the input to a language model in order to obtain the desired output without modifying the actual weights of the model. It is a sophisticated approach that goes beyond traditional adjustments of model weights. Here, the focus is on skillfully refining the input to influence the desired output. For example, to solve certain problems on GPT-3, a simple phrase was added: \"Let's think step by step\". The results are astonishing! GPT-3's resolution rate has risen from 18% to 79%.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"What are the 4 advanced prompt engineering techniques?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Mastering advanced prompt engineering means knowing the different guided message techniques to obtain the desired result. Here are the most common techniques: Zero shots Prompt, Chain of thought prompting (CoT), self consistency, ReAct.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Advanced prompt engineering and Data Science\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"At a time when solutions based on generative AI are multiplying, mastery of advanced prompt engineering is proving indispensable. Particularly for data science experts. To improve your language models, you will need to use advanced prompt engineering. But that's not all. There are other techniques you need to know about to create high-performance LLMs.\"\n    }\n  }]\n}\n<\/script>\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\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>With the democratisation of artificial intelligence and large language models (LLMs), problem solving has been turned on its head. For many problems, it is no longer necessary to create a computer programme using a complex programming language. Instead, all you need is a good text prompt. More specifically, advanced prompt engineering, which is redefining the [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":183413,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"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>Advanced Prompt Engineering: What does it involve?<\/title>\n<meta name=\"description\" content=\"Advanced Prompt Engineering is an approach in the field of natural language processing (NLP) that focuses on designing sophisticated prompts or queries to interact with language models such as GPT\" \/>\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\/advanced-prompt-engineering-what-does-it-involve\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Advanced Prompt Engineering: What does it involve?\" \/>\n<meta property=\"og:description\" content=\"With the democratisation of artificial intelligence and large language models (LLMs), problem solving has been turned on its head. For many problems, it\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-16T01:51:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-23T16:04:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/03\/Advanced_Prompt_Engineering-1024x585-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"585\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Melanie\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Melanie\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve\"},\"author\":{\"name\":\"Melanie\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\"},\"headline\":\"Advanced Prompt Engineering: What does it involve?\",\"datePublished\":\"2024-04-16T01:51:00+00:00\",\"dateModified\":\"2024-03-23T16:04:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve\"},\"wordCount\":742,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Artificial Intelligence\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve\",\"url\":\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve\",\"name\":\"Advanced Prompt Engineering: What does it involve?\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-04-16T01:51:00+00:00\",\"dateModified\":\"2024-03-23T16:04:19+00:00\",\"description\":\"Advanced Prompt Engineering is an approach in the field of natural language processing (NLP) that focuses on designing sophisticated prompts or queries to interact with language models such as GPT\",\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/en\/#website\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"name\":\"Data Science Courses | DataScientest\",\"description\":\"Leader in Data Science Courses\",\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/datascientest.com\/en\/#organization\",\"name\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"contentUrl\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"width\":301,\"height\":301,\"caption\":\"DataScientest\"},\"image\":{\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/DataScientestEN\",\"https:\/\/twitter.com\/DataScientest__\",\"https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/\",\"https:\/\/www.tiktok.com\/@datascientest\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\",\"name\":\"Melanie\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"caption\":\"Melanie\"},\"url\":\"https:\/\/datascientest.com\/en\/author\/melaniekrause\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Advanced Prompt Engineering: What does it involve?","description":"Advanced Prompt Engineering is an approach in the field of natural language processing (NLP) that focuses on designing sophisticated prompts or queries to interact with language models such as GPT","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve","og_locale":"en_GB","og_type":"article","og_title":"Advanced Prompt Engineering: What does it involve?","og_description":"With the democratisation of artificial intelligence and large language models (LLMs), problem solving has been turned on its head. For many problems, it","og_url":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve","og_site_name":"Data Science Courses | DataScientest","article_publisher":"https:\/\/www.facebook.com\/DataScientestEN","article_published_time":"2024-04-16T01:51:00+00:00","article_modified_time":"2024-03-23T16:04:19+00:00","og_image":[{"width":1024,"height":585,"url":"https:\/\/datascientest.com\/en\/files\/2024\/03\/Advanced_Prompt_Engineering-1024x585-1.jpg","type":"image\/jpeg"}],"author":"Melanie","twitter_card":"summary_large_image","twitter_creator":"@DataScientest__","twitter_site":"@DataScientest__","twitter_misc":{"Written by":"Melanie","Estimated reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve#article","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve"},"author":{"name":"Melanie","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d"},"headline":"Advanced Prompt Engineering: What does it involve?","datePublished":"2024-04-16T01:51:00+00:00","dateModified":"2024-03-23T16:04:19+00:00","mainEntityOfPage":{"@id":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve"},"wordCount":742,"commentCount":0,"publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"articleSection":["Artificial Intelligence"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve#respond"]}],"copyrightYear":"2024","copyrightHolder":{"@id":"https:\/\/datascientest.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve","url":"https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve","name":"Advanced Prompt Engineering: What does it involve?","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/#website"},"datePublished":"2024-04-16T01:51:00+00:00","dateModified":"2024-03-23T16:04:19+00:00","description":"Advanced Prompt Engineering is an approach in the field of natural language processing (NLP) that focuses on designing sophisticated prompts or queries to interact with language models such as GPT","inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/en\/advanced-prompt-engineering-what-does-it-involve"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/en\/#website","url":"https:\/\/datascientest.com\/en\/","name":"Data Science Courses | DataScientest","description":"Leader in Data Science Courses","publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/datascientest.com\/en\/#organization","name":"DataScientest","url":"https:\/\/datascientest.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","contentUrl":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","width":301,"height":301,"caption":"DataScientest"},"image":{"@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataScientestEN","https:\/\/twitter.com\/DataScientest__","https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/","https:\/\/www.tiktok.com\/@datascientest"]},{"@type":"Person","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d","name":"Melanie","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","caption":"Melanie"},"url":"https:\/\/datascientest.com\/en\/author\/melaniekrause"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/183411"}],"collection":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/comments?post=183411"}],"version-history":[{"count":0,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/183411\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media\/183413"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media?parent=183411"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/categories?post=183411"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/tags?post=183411"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}