{"id":32018,"date":"2024-07-04T04:38:46","date_gmt":"2024-07-04T03:38:46","guid":{"rendered":"https:\/\/statanalytica.com\/blog\/?p=32018"},"modified":"2024-07-04T04:38:51","modified_gmt":"2024-07-04T03:38:51","slug":"what-is-this-new-method-of-providing-input-to-foundation-models-called","status":"publish","type":"post","link":"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/","title":{"rendered":"What Is This New Method Of Providing Input To Foundation Models Called?"},"content":{"rendered":"\n<p>Foundation models are large-scale machine learning models, such as OpenAI&#8217;s GPT-4, that can perform a wide range of tasks because they are trained on diverse datasets. What is this new method of providing input to foundation models called? A new method for providing input to these models has emerged, making them more efficient and effective. This method is called <strong><em>prompt engineering<\/em><\/strong>.<\/p>\n\n\n\n<p>In this blog, we will explore what prompt engineering is, how it works, its benefits, and some examples of how it is used.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><a href=\"https:\/\/statanalytica.com\/submit-work\"><img decoding=\"async\" width=\"720\" height=\"270\" src=\"https:\/\/statanalytica.com\/blog\/wp-content\/uploads\/2023\/12\/100-Money-Back-Guara.gif\" alt=\"Assignment Help\" class=\"wp-image-25003\" style=\"aspect-ratio:2.6666666666666665;width:1017px;height:auto\"\/><\/a><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-is-this-new-method-of-providing-input-to-foundation-models-called\"><\/span>What Is This New Method Of Providing Input To Foundation Models Called?<span class=\"ez-toc-section-end\"><\/span><\/h2><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a0d3ac548053\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ff5104;color:#ff5104\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ff5104;color:#ff5104\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a0d3ac548053\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#what-is-this-new-method-of-providing-input-to-foundation-models-called\" >What Is This New Method Of Providing Input To Foundation Models Called?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#what-are-the-prompts\" >What Are The Prompts?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#how-does-prompt-engineering-work\" >How Does Prompt Engineering Work?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#what-is-the-importance-of-prompt-engineering\" >What is The Importance of Prompt Engineering?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#efficiency-and-accuracy\" >Efficiency and Accuracy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#versatility\" >Versatility<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#what-are-the-key-techniques-in-prompt-engineering\" >What are the Key Techniques in Prompt Engineering?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#what-are-the-benefits-of-prompt-engineering\" >What are the Benefits of Prompt Engineering?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#top-3-examples-of-prompt-engineering-in-action\" >Top 3 Examples of Prompt Engineering in Action<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#table-example-prompts-and-responses\" >Table: Example Prompts and Responses<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#tips-for-effective-prompt-engineering\" >Tips for Effective Prompt Engineering<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#what-are-the-challenges-in-prompt-engineering\" >What are the Challenges in Prompt Engineering?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#ambiguity\" >Ambiguity<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#model-limitations\" >Model Limitations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#bias-and-fairness\" >Bias and Fairness<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/statanalytica.com\/blog\/what-is-this-new-method-of-providing-input-to-foundation-models-called\/#conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-are-the-prompts\"><\/span>What Are The Prompts?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>A prompt is a piece of text or an instruction given to a foundation model to guide its output. It acts like a question or a task description that tells the model what you want it to do.<\/p>\n\n\n\n<p>For example, if you want the model to write a story about a superhero, your prompt might be, &#8220;Write a story about a superhero who saves the world from an alien invasion.&#8221;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-does-prompt-engineering-work\"><\/span>How Does Prompt Engineering Work?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/guides\/prompt-engineering\" data-type=\"link\" data-id=\"https:\/\/platform.openai.com\/docs\/guides\/prompt-engineering\" target=\"_blank\" rel=\"noopener\">Prompt engineering<rel = nofollow noopener><\/a> involves carefully designing and crafting these prompts to get the best possible results from the foundation model. This method uses the model&#8217;s skill to comprehend and create text from the input it gets.<\/p>\n\n\n\n<p>By optimizing the prompt, users can enhance the model&#8217;s performance on specific tasks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-is-the-importance-of-prompt-engineering\"><\/span>What is The Importance of Prompt Engineering?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"efficiency-and-accuracy\"><\/span>Efficiency and Accuracy<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Prompt engineering helps make the models more efficient and accurate. When a prompt is well-designed, the model can produce more relevant and high-quality responses.<\/p>\n\n\n\n<p>This is crucial for applications like customer support, content generation, and even scientific research.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"versatility\"><\/span>Versatility<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Foundation models can perform a wide variety of tasks, but they need clear instructions. Prompt engineering ensures that the model understands the task at hand and provides the appropriate response.<\/p>\n\n\n\n<p>This versatility makes these models valuable tools in many fields.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-are-the-key-techniques-in-prompt-engineering\"><\/span>What are the Key Techniques in Prompt Engineering?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Clarity and Specificity: <\/strong>The most basic technique in prompt engineering is ensuring that the prompt is clear and specific. A vague prompt can lead to confusing or irrelevant responses. For example, instead of saying, &#8220;Tell me about history,&#8221; you could say, &#8220;Explain the causes of World War II.&#8221;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Using Examples: <\/strong>Providing examples within the prompt can guide the model to produce the desired output. For instance, if you want the model to write a poem in the style of William Shakespeare, you could include a few lines of Shakespearean poetry in the prompt.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Step-by-Step Instructions: <\/strong>Breaking down complex tasks into simpler, step-by-step instructions can help the model understand and perform the task better. For example, if you want the model to solve a math problem, you might guide it with steps like, &#8220;First, identify the variables. Next, apply the formula. Finally, calculate the result.&#8221;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-are-the-benefits-of-prompt-engineering\"><\/span>What are the Benefits of Prompt Engineering?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Improved Performance: <\/strong>By optimizing prompts, users can significantly improve the performance of foundation models. This means more accurate answers, more creative outputs, and better overall results.<\/li>\n<\/ol>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li><strong>Time and Resource Efficiency:<\/strong> Good prompt engineering can save time and resources by reducing the need for extensive post-processing or corrections. When the model provides high-quality responses from the start, it minimizes the need for additional work.<\/li>\n<\/ol>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li><strong>Broader Applications: <\/strong>Prompt engineering expands the range of applications for foundation models. With the right prompts, these models can be used in diverse fields such as education, healthcare, business, and entertainment.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"top-3-examples-of-prompt-engineering-in-action\"><\/span>Top 3 Examples of Prompt Engineering in Action<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Customer Support: <\/strong>In customer support, foundation models can handle common queries efficiently with the right prompts. For example, a prompt like, &#8220;How can I reset my password?&#8221; can guide the model to provide a clear and detailed response.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Content Creation: <\/strong>Writers and marketers use prompt engineering to generate creative content. A prompt like, &#8220;Write a blog post about the benefits of prompt engineering in plain language&#8221; can result in a well-structured and informative article.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Education: <\/strong>Educators use prompt engineering to create educational content and assist in tutoring. For example, a prompt like, &#8220;Explain the process of photosynthesis in simple terms&#8221; helps students understand complex concepts more easily.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Healthcare: <\/strong>In healthcare, foundation models can assist with medical queries and patient education. A prompt like, &#8220;What are the symptoms of diabetes?&#8221; can provide accurate and helpful information to patients.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"table-example-prompts-and-responses\"><\/span>Table: Example Prompts and Responses<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Field<\/strong><\/td><td><strong>Prompt<\/strong><\/td><td><strong>Model Response<\/strong><\/td><\/tr><tr><td><strong>Customer Support<\/strong><\/td><td><em>&#8220;How do I change my account email address?&#8221;<\/em><\/td><td>&#8220;To change your account email address, go to settings, select &#8216;Account,&#8217; and update your email.&#8221;<\/td><\/tr><tr><td><strong>Content Creation<\/strong><\/td><td><em>&#8220;Write a short story about a brave knight.&#8221;<\/em><\/td><td>&#8220;Once upon a time, in a land far away, a brave knight named Sir Galahad embarked on a quest to save the kingdom.&#8221;<\/td><\/tr><tr><td><strong>Education<\/strong><\/td><td><em>&#8220;Explain the Pythagorean theorem.&#8221;<\/em><\/td><td>&#8220;The Pythagorean theorem states that in a right-angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.&#8221;<\/td><\/tr><tr><td><strong>Healthcare<\/strong><\/td><td><em>&#8220;What are the common treatments for asthma?&#8221;<\/em><\/td><td>&#8220;Common treatments for asthma include inhalers, oral medications, and avoiding triggers that cause asthma attacks.&#8221;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"tips-for-effective-prompt-engineering\"><\/span>Tips for Effective Prompt Engineering<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Be Specific:<\/strong> The more specific your prompt, the better the model can understand and respond. Avoid vague or broad questions.<\/li>\n\n\n\n<li><strong>Use Natural Language:<\/strong> Write prompts in natural language, as if you are speaking to a person. This helps the model interpret the prompt more effectively.<\/li>\n\n\n\n<li><strong>Experiment and Iterate:<\/strong> Try different prompts and refine them based on the responses you get. Iteration helps in finding the most effective prompts.<\/li>\n\n\n\n<li><strong>Include Context:<\/strong> Providing context within the prompt can guide the model to produce more relevant responses. For example, &#8220;As a customer support agent, explain how to reset a password&#8221; gives the model a clear role and task.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-are-the-challenges-in-prompt-engineering\"><\/span>What are the Challenges in Prompt Engineering?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"ambiguity\"><\/span>Ambiguity<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Ambiguous prompts can lead to unclear or incorrect responses. It&#8217;s important to phrase prompts clearly to avoid confusion.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"model-limitations\"><\/span>Model Limitations<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>While foundation models are powerful, they have limitations and may not always produce perfect responses. Understanding these limitations is crucial for effective prompt engineering.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"bias-and-fairness\"><\/span>Bias and Fairness<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Prompts can inadvertently introduce bias into the model&#8217;s responses. It&#8217;s essential to be aware of this and design prompts that minimize bias and promote fairness.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>What is this new method of providing input to foundation models called? Prompt engineering is a powerful method for enhancing the performance and versatility of foundation models.<\/p>\n\n\n\n<p>By designing clear, specific, and effective prompts, users can guide these models to produce high-quality responses across various fields. From customer support to education and healthcare, prompt engineering opens up new possibilities for leveraging the capabilities of foundation models.<\/p>\n\n\n\n<p>When you grasp and use prompt engineering principles, you can unleash the complete abilities of these advanced machine learning models.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Foundation models are large-scale machine learning models, such as OpenAI&#8217;s GPT-4, that can perform a wide range of tasks because they are trained on diverse datasets. What is this new method of providing input to foundation models called? A new method for providing input to these models has emerged, making them more efficient and effective. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":32020,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[136],"tags":[],"class_list":["post-32018","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/32018","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/comments?post=32018"}],"version-history":[{"count":1,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/32018\/revisions"}],"predecessor-version":[{"id":32021,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/32018\/revisions\/32021"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media\/32020"}],"wp:attachment":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media?parent=32018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/categories?post=32018"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/tags?post=32018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}