{"id":6921,"date":"2024-12-13T08:49:20","date_gmt":"2024-12-13T07:49:20","guid":{"rendered":"https:\/\/www.artea.com\/ai-prompting-what-it-is-and-what-strategies-to-use\/"},"modified":"2026-09-29T09:29:44","modified_gmt":"2026-09-29T07:29:44","slug":"ai-prompting-what-it-is-and-what-strategies-to-use","status":"publish","type":"post","link":"https:\/\/www.artea.com\/en\/ai-prompting-what-it-is-and-what-strategies-to-use\/","title":{"rendered":"AI PROMPTING: WHAT IT IS AND WHAT STRATEGIES TO USE"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"6921\" class=\"elementor elementor-6921 elementor-5598\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-55321cfa post-content elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"55321cfa\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7ba13a44\" data-id=\"7ba13a44\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-70e2320e elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"70e2320e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-537c7743\" data-id=\"537c7743\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-719fc151 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"719fc151\" data-element_type=\"widget\" data-e-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\t\t<p>From voice assistants to business automation platforms, artificial intelligence (AI) has become an integral part of our lives. However, one key aspect of making the most of an AI model\u2019s potential is often overlooked: <strong>prompting<\/strong>.   <\/p><p>Formulating clear, well-structured prompts\u2014a practice known as <strong>prompt engineering<\/strong>\u2014is essential for obtaining accurate and relevant responses from advanced models such as ChatGPT.<\/p>\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-213e6b1 elementor-widget elementor-widget-html\" data-id=\"213e6b1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\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-556bb69a elementor-widget elementor-widget-heading\" data-id=\"556bb69a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is a prompt?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca50b1b elementor-widget elementor-widget-text-editor\" data-id=\"ca50b1b\" data-element_type=\"widget\" data-e-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\t\t<p><strong>A prompt<\/strong> is <strong>a request or command provided to an artificial intelligence model as input so that it can generate a response. <\/strong> <\/p><p>For example, when we ask a <strong>generative AI<\/strong> model <em>, \u201cExplain Einstein\u2019s theory of relativity in simple terms, as if you were talking to a 10-year-old,\u201d<\/em> we are providing a \u201cprompt\u201d that the AI uses to generate its response.<\/p><p>In an AI model, there are three key components:<\/p><ul><li><strong>System:<\/strong> Defines general settings, such as the tone and style of responses; for example, we can specify that the system respond in a formal or informal manner, or that it adopt a specific persona, such as a lawyer or a doctor.<\/li><li><strong>User:<\/strong> The user who interacts directly with the system by entering questions and receiving answers.<\/li><li><strong>Assistant:<\/strong> This is the artificial intelligence itself, which processes prompts and generates results based on the input it receives.<\/li><\/ul><p>Each actor plays an important role in the prompting process, directly influencing the quality and relevance of the responses generated by the model.<\/p>\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-73a95b80 elementor-widget elementor-widget-heading\" data-id=\"73a95b80\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How does prompting work in AI?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-977e7d2 elementor-widget elementor-widget-text-editor\" data-id=\"977e7d2\" data-element_type=\"widget\" data-e-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\t\t<p>When we formulate a prompt, the AI processes the request based on its prior knowledge, striving to provide an accurate response. However, the model has no knowledge beyond its <strong>training data<\/strong>, which constitutes the scope of the data on which it was trained: this means that the quality of the prompt has a decisive impact on the output. <\/p><p>An important aspect of prompting is its ability to influence an AI&#8217;s behavior. For example, we can ask the model to take on the role of a teacher or an expert in a particular subject, thereby opening the door to a variety of creative possibilities. <\/p>\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-119e41a9 elementor-widget elementor-widget-heading\" data-id=\"119e41a9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Extending AI Capabilities with Function Calls\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32825cea elementor-widget elementor-widget-image\" data-id=\"32825cea\" data-element_type=\"widget\" data-e-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\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/prompt-1024x683.jpg\" class=\"attachment-large size-large wp-image-5575\" alt=\"\" srcset=\"https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/prompt-1024x683.jpg 1024w, https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/prompt-300x200.jpg 300w, https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/prompt-768x512.jpg 768w, https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/prompt-1536x1024.jpg 1536w, https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/prompt-2048x1365.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\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-44c2a874 elementor-widget elementor-widget-text-editor\" data-id=\"44c2a874\" data-element_type=\"widget\" data-e-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\t\t<p>Now let\u2019s imagine we want to solve a complex equation: in this case, the model might require a function call\u2014that is,<strong> a predefined external function<\/strong>\u2014to perform advanced calculations. For example, if we ask the model to solve a system of differential equations, it can call an external function (such as an API or a software library) specialized in numerical computation to obtain the result. <\/p><p>The use of function calls is particularly useful for overcoming the <strong>inherent limitations of AI<\/strong>, such as its inability to perform complex calculations or retrieve data in real time.<\/p><p>Let&#8217;s look at three concrete examples:<\/p><ul><li><strong>Financial Sector:<\/strong> A system could use a function call to access real-time financial data and make investment decisions.<\/li><li><strong>Virtual assistants:<\/strong> A conversational bot could use a function call to make a reservation at a restaurant or hotel.<\/li><li><strong>Document Generation:<\/strong> An LLM model could make a function call to automatically generate a PowerPoint presentation or a Word document.<\/li><\/ul>\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-96db427 elementor-widget elementor-widget-heading\" data-id=\"96db427\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Types of Prompting: Zero-Shot, Few-Shot, and RAG<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11db41e elementor-widget elementor-widget-text-editor\" data-id=\"11db41e\" data-element_type=\"widget\" data-e-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\t\t<p>There are <strong>various prompting techniques<\/strong> that can be used to elicit responses from an AI model. Each method has its own strengths and weaknesses, making it suitable for different situations. <\/p>\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-50324e1 elementor-widget elementor-widget-heading\" data-id=\"50324e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Zero-Shot Prompting<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e626420 elementor-widget elementor-widget-text-editor\" data-id=\"e626420\" data-element_type=\"widget\" data-e-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\t\t<p>In <strong>Zero-Shot Prompting<\/strong>, we provide the AI with <strong>only the prompt<\/strong>, without any additional information or examples. The AI attempts to generate a response based solely on the prompt it receives. <\/p><p>This method is <strong>quick, but it can be inaccurate<\/strong> for complex tasks.<\/p>\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-e7ae0b1 elementor-widget elementor-widget-heading\" data-id=\"e7ae0b1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Few-Shot Prompting<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35dfbca elementor-widget elementor-widget-text-editor\" data-id=\"35dfbca\" data-element_type=\"widget\" data-e-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\t\t<p>Using a technique called <strong>Few-Shot Prompting<\/strong>, we provide the AI with <strong>one or more examples<\/strong> before asking the question. For example, if we want ChatGPT to answer a scientific question, we can provide examples of similar answers to help it better understand the context. <strong><br><\/strong><\/p><p>This method<strong> significantly improves the quality of the responses<\/strong>.<\/p>\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-0da30a6 elementor-widget elementor-widget-heading\" data-id=\"0da30a6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Retrieval-Augmented Generation (RAG)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f0a619 elementor-widget elementor-widget-text-editor\" data-id=\"6f0a619\" data-element_type=\"widget\" data-e-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\t\t<p>Another interesting technique is called <strong>Retrieval-Augmented Generation (RAG)<\/strong>. With RAG, the AI enriches its responses<strong> using a customized database of information<\/strong>. <\/p><p>This method is particularly useful in so-called \u201cclosed\u201d <strong>chatbots<\/strong>, where the system must operate within predefined boundaries, ensuring consistent and relevant responses only in relation to specific information.<\/p>\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-6dab2fb elementor-widget elementor-widget-heading\" data-id=\"6dab2fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Strategies for More Effective Prompting<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27a66d9 elementor-widget elementor-widget-text-editor\" data-id=\"27a66d9\" data-element_type=\"widget\" data-e-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\t\t<p>To get the most out of AI prompting, it&#8217;s not enough to simply ask a question; it&#8217;s essential to use specific strategies. Here are some practical tips: <\/p><ul><li><strong>Clear wording:<\/strong> Using direct and precise language is essential to avoid ambiguity or vague answers. An example might be <em>\u201cExplain to me how photosynthesis works<\/em>, <em>\u201d<\/em> rather than a vague question like <em>\u201cWhat is photosynthesis?\u201d<\/em> <\/li><li><strong>Natural language:<\/strong> Formulating prompts as if you were speaking to a person helps the AI better interpret your requests. For example,<em> \u201cCan you tell me how the feudal system works?\u201d<\/em> is preferable to an overly technical question like <em>\u201cDescribe the socioeconomic structure of feudalism.\u201d<\/em> <\/li><\/ul>\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-0773ab7 elementor-widget elementor-widget-heading\" data-id=\"0773ab7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Most Advanced Techniques: Chain of Thought<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a2850f5 elementor-widget elementor-widget-text-editor\" data-id=\"a2850f5\" data-element_type=\"widget\" data-e-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\t\t<p>The <strong>Chain of Thought<\/strong> technique guides the AI through a series of logical steps to produce a more detailed and comprehensive response.<\/p><p>For example, if we ask the AI to solve a math problem such as <em>\u201cCalculate how many days there are in 3 months<\/em>, <em>\u201d<\/em> we could structure the prompt so that the AI performs a series of logical steps: first, determine how many days there are in a month; second, multiply that number by 3, specifying that the answer must distinguish between months with 30 and 31 days. This step-by-step structure allows the AI to provide a more precise answer than a single, generic command such as <em>\u201cHow many days are there in 3 months?\u201d<\/em> <\/p><p>By applying these prompt engineering strategies, we can improve the effectiveness of our interactions with AI, yielding more detailed and relevant responses.<\/p>\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-2b01c61 elementor-widget elementor-widget-heading\" data-id=\"2b01c61\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Examples of prompts for ChatGPT and other LLM models<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0bfe19d elementor-widget elementor-widget-text-editor\" data-id=\"0bfe19d\" data-element_type=\"widget\" data-e-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\t\t<p>One way to better understand the power of prompting is to look at concrete examples:<\/p><p>An <strong>effective prompt for ChatGPT<\/strong> might be:<\/p><p><em>&#8220;Pretend you&#8217;re a doctor specializing in nutrition and explain to a patient how to balance the macronutrients in their daily diet to maintain a good energy level.&#8221;<\/em><\/p><p>In this case, we are asking the AI to take on the role of an expert and provide practical, detailed advice on a specific topic in a clear and accessible way, suitable for a non-expert audience.<\/p><p>In the <strong>context of code autocompletion<\/strong>, an effective prompt might be:<\/p><p><em>&#8220;Complete this Python code snippet that calculates the sum of the numbers in a list: def calculate_sum(list):&#8221;<\/em><\/p><p>In this case, the prompt provides a clear and specific request that allows the AI to perform the task appropriately, focusing on a well-defined operation.<\/p><p>These structures help the AI provide relevant and targeted responses, offering a solution based on what is requested in the prompt. The use of well-formulated prompts improves the output generated by LLM models. In technical jargon, the term <strong>\u201ccontextual alignment<\/strong> \u201d refers to how prompt engineering techniques allow us to create questions that \u201calign\u201d the AI\u2019s response with the desired context, thereby improving its effectiveness.  <\/p>\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-e3f16ec elementor-widget elementor-widget-heading\" data-id=\"e3f16ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Role of the Prompt Engineer<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6655e7e elementor-widget elementor-widget-text-editor\" data-id=\"6655e7e\" data-element_type=\"widget\" data-e-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\t\t<p>The <strong>Prompt Engineer<\/strong> is an emerging professional role focused on designing and optimizing prompts to elicit high-quality AI responses. This professional must have a deep understanding of how artificial intelligence models work and know how to adapt prompts to meet the specific needs of a company or user. <\/p><p>For example, a Prompt Engineer might design custom prompts for a chatbot used in customer service, ensuring that the responses are accurate and relevant to users\u2019 frequently asked questions (FAQs). As the use of LLM models increases, this role will become increasingly essential in the fields of <strong>research<\/strong>,<strong>automation<\/strong>, and <strong>customer care<\/strong>. <\/p>\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-cbc20de elementor-widget elementor-widget-heading\" data-id=\"cbc20de\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Trust the prompting experts: call artea.com<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91756e5 elementor-widget elementor-widget-text-editor\" data-id=\"91756e5\" data-element_type=\"widget\" data-e-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\t\t<p>Prompt engineering is a key factor in improving the effectiveness of our interactions with artificial intelligence. Prompting techniques offer powerful tools for managing advanced models such as ChatGPT. However, it is important to consider the limitations of large language models (LLMs) and implement advanced strategies\u2014such as the use of function calls or the RAG technique\u2014to further improve responses.  <\/p><p>If you\u2019d like to learn how to implement custom chatbots using advanced techniques such as RAG or automate processes using artificial intelligence, contact <a href=\"https:\/\/www.artea.com\/en\/\">artea.com<\/a> right away for a solution tailored to your needs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-3b92dbf\" data-id=\"3b92dbf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1955dc8e elementor-widget elementor-widget-heading\" data-id=\"1955dc8e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Share this article<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fa5481 elementor-share-buttons--skin-minimal art-share-social elementor-share-buttons--view-icon-text elementor-share-buttons--shape-square elementor-grid-0 elementor-share-buttons--color-official elementor-widget elementor-widget-share-buttons\" data-id=\"5fa5481\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;share_url&quot;:{&quot;url&quot;:&quot;&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;}}\" data-widget_type=\"share-buttons.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-grid\" 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-->\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>From voice assistants to business automation platforms, artificial intelligence (AI) has become an integral part of our lives. However, one key aspect of making the most of an AI model\u2019s potential is often overlooked: prompting. Formulating clear, well-structured prompts\u2014a practice known as prompt engineering\u2014is essential for obtaining accurate and relevant responses from advanced models such [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":5564,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[87],"tags":[],"class_list":["post-6921","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-algorithms"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Prompting: What It Is and Strategies to Use | artea.com<\/title>\n<meta name=\"description\" content=\"Learn what AI prompting is and discover the best strategies for improving your interaction with AI 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:\/\/www.artea.com\/en\/ai-prompting-what-it-is-and-what-strategies-to-use\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Prompting: What It Is and Strategies to Use | artea.com\" \/>\n<meta property=\"og:description\" content=\"Learn what AI prompting is and discover the best strategies for improving your interaction with AI models.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.artea.com\/en\/ai-prompting-what-it-is-and-what-strategies-to-use\/\" \/>\n<meta property=\"og:site_name\" content=\"artea.com | AI for enterprise applications\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-13T07:49:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-29T07:29:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.artea.com\/wp-content\/uploads\/2024\/11\/tipi-di-prompt-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1440\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"artea.com\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"artea.com\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.artea.com\\\/en\\\/ai-prompting-what-it-is-and-what-strategies-to-use\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.artea.com\\\/en\\\/ai-prompting-what-it-is-and-what-strategies-to-use\\\/\"},\"author\":{\"name\":\"artea.com\",\"@id\":\"https:\\\/\\\/www.artea.com\\\/en\\\/#\\\/schema\\\/person\\\/c518dee823425209ecee41ac7b625051\"},\"headline\":\"AI PROMPTING: WHAT IT IS AND WHAT STRATEGIES TO USE\",\"datePublished\":\"2024-12-13T07:49:20+00:00\",\"dateModified\":\"2026-09-29T07:29:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.artea.com\\\/en\\\/ai-prompting-what-it-is-and-what-strategies-to-use\\\/\"},\"wordCount\":1399,\"publisher\":{\"@id\":\"https:\\\/\\\/www.artea.com\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.artea.com\\\/en\\\/ai-prompting-what-it-is-and-what-strategies-to-use\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.artea.com\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/tipi-di-prompt-scaled.jpg\",\"articleSection\":[\"Artificial Intelligence &amp; 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