{"id":50430,"date":"2025-02-27T19:27:01","date_gmt":"2025-02-27T13:27:01","guid":{"rendered":"https:\/\/www.enago.com\/academy\/?p=50430"},"modified":"2025-04-03T12:32:09","modified_gmt":"2025-04-03T06:32:09","slug":"ai-in-academia-chatgpt-deepseek-perplexity-gemini","status":"publish","type":"post","link":"https:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/","title":{"rendered":"AI in Academia: Comparing ChatGPT, DeepSeek, Perplexity, and Gemini"},"content":{"rendered":"<p>In the rapidly evolving world of artificial intelligence, several conversational AI tools have emerged, each offering unique strengths and capabilities. Generative AI (Gen-AI) models hold potential to transform academic research by assisting with literature reviews, manuscript drafting, and data analysis. This article compares four prominent models with a researcher\u2019s needs in mind.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_74 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" 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: #999;color:#999\" 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><\/span><\/a><\/span><\/div>\n<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:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/#Key_Factors_Researchers_Should_Consider_Before_Choosing_an_LLM\" >Key Factors Researchers Should Consider Before Choosing an LLM<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/#ChatGPT_Generative_Pre-Trained_Transformer\" >ChatGPT (Generative Pre-Trained Transformer)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/#DeepSeek\" >DeepSeek<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/#Perplexity_AI\" >Perplexity AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/#Gemini_AI\" >Gemini AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.enago.com\/academy\/ai-in-academia-chatgpt-deepseek-perplexity-gemini\/#Government_Policies_Censorship_Academic_Collaboration\" >Government Policies, Censorship &amp; Academic Collaboration<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Key_Factors_Researchers_Should_Consider_Before_Choosing_an_LLM\"><\/span>Key Factors Researchers Should Consider Before Choosing an LLM<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A researcher should consider several key parameters when <a href=\"https:\/\/www.enago.com\/academy\/ai-assisted-research-and-education-ecosystems\/\" target=\"_blank\" rel=\"noopener\">using Language Learning Models<\/a> (LLMs) to ensure quality and integrity. These include:<\/p>\n<ol>\n<li>The model must<strong> ensure factual accuracy<\/strong> while providing outputs.<\/li>\n<li>It should provide <strong>relevant references and citations<\/strong> which will strengthen the credibility of the manuscript.<\/li>\n<li>It should be capable of<strong> context retention<\/strong>, which helps preserve the flow of complex ideas.<\/li>\n<li>It should also be able to assist with<strong> technical writing<\/strong> which helps researchers express their findings while adhering to the standards of their specific field.<\/li>\n<li>It is also important to understand that an AI might generate incorrect or fabricated information (<strong>AI hallucinations<\/strong>), which needs stringent oversight by the researcher.<\/li>\n<\/ol>\n<p>Let\u2019s take a closer look at each model, breaking down their strengths and limitations, how they cater to different academic writing needs, and the specific challenges researchers encounter when using them.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"ChatGPT_Generative_Pre-Trained_Transformer\"><\/span>ChatGPT (Generative Pre-Trained Transformer)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/chatgpt.com\/\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">ChatGPT<\/a> excels in generating human-like responses, making it a valuable tool for drafting content and generating outlines. It is particularly effective for brainstorming, drafting documents, and helping writers organize their thoughts or structure essays. However, prompt engineering is crucial for researchers using GPT models. By refining prompts and providing clear instructions, researchers can guide the AI to generate accurate, relevant responses. This technique helps ensure the model stays focused, extract precise information, and meet domain-specific needs, ultimately enhancing the output quality.<\/p>\n<p>While ChatGPT&#8217;s conversational abilities are impressive, it has <a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2023\/03\/03\/the-top-10-limitations-of-chatgpt\/\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">notable limitations<\/a>. Factual accuracy remains a significant concern, as it lacks real-time internet access and cannot verify or cross-check current facts. Additionally, it cannot search the web for up-to-date references or manage citations. Thus, researchers must cross-check its content with credible sources, particularly for specialized or time-sensitive information. Furthermore, ChatGPT struggles with context retention during long conversations, particularly when switching topics or revisiting earlier points.<\/p>\n<p>However, <a href=\"https:\/\/openai.com\/index\/introducing-operator\/\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">Operator<\/a>, ChatGPTs new Computer Using Agent (CUA), can autonomously interact with digital interfaces and navigate graphical user interfaces (GUIs). This makes it a powerful tool for expanding AI use in everyday digital environments and shows promise to improve applications for researchers.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"DeepSeek\"><\/span>DeepSeek<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Specialized in domain-specific analysis, <a href=\"https:\/\/www.deepseek.com\/\" target=\"_blank\" rel=\"noopener nofollow\">DeepSeek<\/a> excels in fields such as computer science, engineering, and other STEM disciplines. Its strengths lie in computational tasks, code generation, debugging, and algorithm development assistance. Additionally, their open-sourcing policies could disrupt the competitive AI landscape by making advanced tools more accessible to small businesses, researchers, and hobbyists.<\/p>\n<p>Reported biases in DeepSeek\u2019s responses due to its training data, limit its ability to handle lengthy and complex conversations, particularly when switching between technical and non-technical topics. It cannot look for up-to-date references or manage citations, requiring users to cross-check and validate the information.<\/p>\n<p>Moreover, DeepSeek&#8217;s cost-effectiveness was one of the factors that added to its novelty. However, a <a href=\"https:\/\/semianalysis.com\/2025\/01\/31\/deepseek-debates\/\" target=\"_blank\" rel=\"noopener nofollow\">recent report from SemiAnalysis<\/a> suggests that its development costs are significantly higher than the claimed $6 million.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Perplexity_AI\"><\/span>Perplexity AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.perplexity.ai\/hub\/blog\/getting-started-with-perplexity\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">Perplexity<\/a> shines in deep research tasks. It integrates web search to pull in real-time data, references, and citations, making it an invaluable tool for researchers who need frequent updates or want to access latest studies. <a href=\"https:\/\/www.perplexity.ai\/hub\/blog\/introducing-perplexity-deep-research\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">Perplexity\u2019s Deep Research tool<\/a> further enhances its offerings by \u00a0providing a faster, more efficient way to gather detailed research from multiple sources, and positioning the company as a significant competitor to AI giants like OpenAI and Google. It excels at helping with citation management and identifying credible sources.<\/p>\n<p>Perplexity AI has recently released an uncensored version of the DeepSeek R1 model, called <a href=\"https:\/\/analyticsindiamag.com\/ai-news-updates\/perplexity-ai-open-sources-r1-1776-to-remove-censorship-from-deepseek-r1\/\" target=\"_blank\" rel=\"noopener nofollow\">R1 1776<\/a>. This decision follows a post-training process, where the model was fine-tuned using a dataset of 40,000 multilingual prompts to address politically sensitive topics that DeepSeek R1 avoided. R1 1776 retains its strong reasoning abilities and offers enhanced openness, allowing for more transparent and honest AI interactions.<\/p>\n<p>However, its focus on factual accuracy sometimes sacrifices narrative creativity, making it less flexible when researchers require more exploratory or imaginative content. While it is best suited for tasks requiring factual information but may not be ideal for hypothesis generation. Additionally, its inability to fully grasp human reasoning and can result in a lack of depth in ideating responses technical responses, limiting its utility for highly specialized research.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Gemini_AI\"><\/span>Gemini AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/gemini.google.com\/app?hl=en-IN\" target=\"_blank\" rel=\"noopener nofollow\">Gemini<\/a>, another advanced tool, stands out for its multimodal capabilities, processing not only text but also images, charts, and videos. This makes it invaluable in fields like medical research, where diverse data types need to be analyzed and synthesized. Gemini\u2019s ability to handle multiple data formats simultaneously is especially beneficial for interdisciplinary research. Gemini has made its debut in Google Workspace, where its <a href=\"https:\/\/blog.google\/products\/gemini\/google-gemini-deep-research\/\" target=\"_blank\" rel=\"noopener nofollow\">Deep research<\/a> feature offers detailed reports and analytical tools for tasks like lesson planning, client reports, and research preparation. However, Google has recently removed Gemini from its main app for iOS, encouraging users to download the <a href=\"https:\/\/www.businesstoday.in\/technology\/news\/story\/google-to-remove-gemini-access-from-google-app-on-ios-prompts-users-to-download-standalone-app-465250-2025-02-20\" target=\"_blank\" rel=\"noopener nofollow\">standalone app for full access<\/a>, to streamline the Gemini experience.<\/p>\n<p>A new multi-agent AI system called \u201c<a href=\"https:\/\/analyticsindiamag.com\/ai-news-updates\/google-goes-beyond-deep-research-tools-introduces-a-new-co-scientist-system\/\" target=\"_blank\" rel=\"noopener nofollow\">AI Co-Scientist<\/a>\u201d, built on the Gemini 2.0 model, acts as a virtual scientific collaborator, helping scientists generate novel research, hypotheses, and proposals. It uses a multi-agent system to iterate, evaluate, and refine hypotheses, leveraging web search and specialized AI models. The tool has already shown success in validating hypotheses in drug repurposing and antimicrobial resistance.<\/p>\n<p>While Gemini excels in generating structured content, it may struggle with subjective interpretation in more abstract topics. Currently, its response accuracy may lag in highly specialized scientific domains, lacking sufficient context or clarity, especially when dealing with complex, multi-step problems.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-50429 lazyload\" data-src=\"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2025\/02\/LLM-comparison.png\" alt=\"gpt vs\" width=\"1024\" height=\"768\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/768;\" \/>Each of these AI models offers distinct strengths that can significantly contribute to enhancing research productivity. By <a href=\"https:\/\/www.researchgate.net\/publication\/371180138_Adapting_to_the_Impact_of_AI_in_Scientific_Writing_Balancing_Benefits_and_Drawbacks_while_Developing_Policies_and_Regulations\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">adopting a hybrid approach<\/a>, researchers can leverage the efficiency of AI tools while ensuring that facts and insights are validated through traditional research methods and human expertise. This balance enables researchers to speed up tasks like literature discovery, data analysis, and manuscript drafting, while maintaining the rigorous standards of academic work.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Government_Policies_Censorship_Academic_Collaboration\"><\/span>Government Policies, Censorship &amp; Academic Collaboration<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The effectiveness and accessibility of AI tools are shaped by government regulations, particularly those related to data use and <a href=\"https:\/\/arxiv.org\/pdf\/2404.15149\" target=\"_blank\" rel=\"noopener nofollow\">AI model biases<\/a>. As journal guidelines evolve around AI-generated content, citation integrity, and fact-checking, <a href=\"https:\/\/www.researchgate.net\/publication\/383661768_The_Ethics_of_AI_in_Content_Moderation_Balancing_Privacy_Free_Speech_and_Algorithmic_Control\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">researchers must stay informed<\/a> to navigate academic publishing&#8217;s changing landscape. Geographical restrictions and government-imposed limitations, like internet censorship, can further affect a researcher&#8217;s ability to fully leverage AI&#8217;s multimodal capabilities. AI censorship may hinder collaboration by restricting access to research materials and limiting diverse perspectives.<\/p>\n<p>Governments worldwide are imposing bans or regulations on large language models (LLMs) like OpenAI\u2019s GPT series, Google&#8217;s Gemini, and China&#8217;s DeepSeek R1 due to concerns about privacy, misinformation, and national security. <a href=\"https:\/\/www.cnbc.com\/2023\/05\/15\/eu-ai-act-europe-takes-aim-at-chatgpt-with-landmark-regulation.html?msockid=1a8f778c15786b423f586286148e6abb\" target=\"_blank\" rel=\"noopener nofollow\">The European Union has proposed strict regulations<\/a> to ensure AI models operate transparently, protecting citizens&#8217; data and preventing harmful content, impacting models like GPT-4. Authorities worldwide, including in Australia, Italy, Ireland, and South Korea, are <a href=\"https:\/\/economictimes.indiatimes.com\/tech\/technology\/security-concerns-push-nations-away-from-deepseek-revolution\/articleshow\/118307932.cms\" target=\"_blank\" rel=\"noopener nofollow\">banning DeepSeek&#8217;s app on government devices<\/a> due to security concerns, such as potential data collection by the Chinese government.<\/p>\n<p>Meanwhile, in the U.S., discussions around <a href=\"https:\/\/www.moneycontrol.com\/technology\/openai-launches-chatgpt-gov-for-the-us-government-all-the-details-article-12921981.html\" target=\"_blank\" rel=\"noopener nofollow\">regulating models like GPT<\/a> and Gemini focus on addressing ethical concerns, such as bias, job displacement, and the potential <a href=\"https:\/\/www.bbc.com\/news\/articles\/c0m17d8827ko\" target=\"_blank\" rel=\"noopener nofollow\">for AI-driven misinformation.<\/a> These <a href=\"https:\/\/bgr.com\/tech\/chatgpt-isnt-available-in-china-so-should-the-us-ban-deepseek\/\" target=\"_blank\" rel=\"noopener nofollow\">global restrictions<\/a> highlight the varying approaches to managing the rapid evolution of AI technologies. For instance, <a href=\"https:\/\/www.perplexity.ai\/hub\/blog\/open-sourcing-r1-1776\" target=\"_blank\" rel=\"noopener nofollow\" class=\"broken_link\">Perplexity AI has open-sourced R1 1776<\/a>, an uncensored version of the Chinese-developed DeepSeek R1 model, removing built-in censorship to provide more open and truthful responses. The release also raises questions about the balance between moderation and censorship, highlighting the tension between safeguarding sensitive topics and promoting free speech.<\/p>\n<p>As governments and regulatory bodies continue to navigate the complex landscape of AI regulation, researchers must remain informed about the potential risks as well as the advancements in these tools. This vigilance is essential for ensuring that AI technologies are harnessed effectively while maintaining academic integrity and fostering global collaboration. The challenges posed by geographical restrictions, AI censorship, and model biases highlight the need for researchers to strategize accordingly about which AI tools to use \u2014 whether it&#8217;s for literature discovery, manuscript drafting, or technical analysis. By thoughtfully combining these powerful AI tools, researchers can boost their efficiency without sacrificing the depth and rigor that academic work demands. The future of research lies in <a href=\"https:\/\/www.springernature.com\/gp\/librarians\/the-link\/ebooks-blogpost\/ai-tools-research-integrity-insights\/27701772\" target=\"_blank\" rel=\"noopener nofollow\">striking the right balance<\/a> between cutting-edge technology and traditional scholarly practices.<\/p>\n<div style=\"display:flex; gap:10px;justify-content:\" class=\"wps-pgfw-pdf-generate-icon__wrapper-frontend\">\n\t\t<a  href=\"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/50430?action=genpdf&amp;id=50430\" class=\"pgfw-single-pdf-download-button\" ><img data-src=\"https:\/\/www.enago.com\/academy\/wp-content\/plugins\/pdf-generator-for-wp\/admin\/src\/images\/PDF_Tray.svg\" title=\"Generate PDF\" style=\"width:auto; height:45px;\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a>\n\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>In the rapidly evolving world of artificial intelligence, several conversational AI tools have emerged, each&hellip;<\/p>\n","protected":false},"author":12426,"featured_media":50431,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[1893,1537],"tags":[1631,1633],"ppma_author":[1968],"class_list":["post-50430","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-in-academia","category-trending-now","tag-ai-in-academic-writing","tag-ai-in-publishing"],"better_featured_image":{"id":50431,"alt_text":"GPT vs","caption":"","description":"","media_type":"image","media_details":{"width":910,"height":340,"file":"2025\/02\/FeatureImages-53.png","filesize":277227,"sizes":{},"image_meta":{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0","keywords":[]}},"post":null,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2025\/02\/FeatureImages-53.png"},"acf":{"faq_main_heading":"","faq_heading_one":"","faq_heading_two":"","faq_heading_three":"","faq_heading_four":"","faq_heading_five":"","faq_heading_six":"","faq_description_one":"","faq_description_two":"","faq_description_three":"","faq_description_four":"","faq_description_five":"","faq_description_six":""},"views":4660,"single_webinar_page_date":null,"single_webinar_page_time":null,"session_agenda":null,"who_should_attend_this_session":null,"about_the_speaker_field":null,"co-webinar-sec":null,"co_webinar_sec_one":null,"speaker-name":null,"webinar-date":null,"webinar-time":null,"webinar-s-image":null,"custum_webinar_category":null,"authors":[{"term_id":1968,"user_id":12426,"is_guest":0,"slug":"rebecca","display_name":"Dr. Rebecca D'souza","avatar_url":{"url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2025\/02\/Rebecca.png","url2x":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2025\/02\/Rebecca.png"},"author_category":"1","user_url":"","last_name":"D'Souza","first_name":"Rebecca","job_title":"","description":"Rebecca D'souza is an Associate Content Expert at Enago Academy, where she develops insightful content to support researchers and academics in scholarly publishing. With a PhD in Biological Sciences, she specializes in cancer biology and molecular oncology and has presented her work at international and national conferences. Previously, she worked as a Medical Writer, gaining expertise in scientific communication.\r\n\r\nShe has a strong research background and a deep understanding of the evolving academic landscape. Passionate about open science, research integrity, and science communication, she is committed to making high-quality academic resources more accessible."}],"_links":{"self":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/50430","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/users\/12426"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/comments?post=50430"}],"version-history":[{"count":3,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/50430\/revisions"}],"predecessor-version":[{"id":50435,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/50430\/revisions\/50435"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/media\/50431"}],"wp:attachment":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/media?parent=50430"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/categories?post=50430"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/tags?post=50430"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/ppma_author?post=50430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}