[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-572256-105":53,"doc-detail-572256-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","chatgpt-cheat-sheet","ChatGPT Cheat Sheet","","Cheat sheet showcasing how to use OpenAI’s ChatGPT for developers and content creators. Covers NLP prompting patterns, including text generation, summarization, open-domain question answering, paraphrasing, sentiment analysis, table-to-text and text-to-table, and token/entity classification. Also includes prompting guidance for dataset generation, machine translation, code generation, code explanation, and structured versus unstructured output styles. Designed to improve proficiency in large language model prompting across multiple domains.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/chatgpt-cheat-sheet/572256/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/chatgpt-cheat-sheet/572256.png","ImageObject",442,249,{"name":88,"@type":89},"hdkawk","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-21","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",7,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What NLP tasks does the cheat sheet cover for prompting ChatGPT?","Question",{"text":109,"@type":110},"It covers text generation, summarization, open-domain question answering, paraphrasing, sentiment analysis, table-to-text, text-to-table, and token/entity classification.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How does the cheat sheet demonstrate structured versus unstructured prompting?",{"text":114,"@type":110},"It separates examples that request specific formats or outputs (structured output styles) from those that request more general responses (unstructured output styles).",{"name":116,"@type":107,"acceptedAnswer":117},"What coding-related examples are included in the cheat sheet?",{"text":118,"@type":110},"It includes code generation prompts (e.g., making an HTTP request in Python) and code explanation prompts that break down Python pipeline code for question-answering.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},572256,1792019558,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":42,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":8},3985747859855,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","The ChatGPT Cheat Sheet  \nThis cheat sheet illustrates the diverse abilities of OpenAI’s ChatGPT for developers and content creators to enhance their proficiency in large language model prompting across various domains including media content creation, natural language processing, and programming.  \nTable of Contents:  \n1. NLP Tasks  \n2. Code  \n3. Structured Output Styles  \n4. Unstructured Output Styles  \n5. Media Types  \n6. Meta ChatGPT  \n7. Expert Prompting  \n[www.neuralmagic.com](www.neuralmagic.com)  \n(batteries not included)  \n1 . NLP  \nText Generation  \nPrompt: write an intro paragraph to a mystery novel  \nIt was a dark and stormy night when the body was found . The small town of Millfield was in shock as the news spread that one of their own , local businessman , had been murdered in cold blood . The police were ata loss for leads and the residents of the town were on edge . But one person , a young and ambitious reporter , was determined to uncover the truth and find the killer . Little did she know , this case would lead her down a treacherous path of lies , deception , and hidden secrets that would shake the very foundations of t he town . As she delves deeper into the investigation , she begins to realize that nothing is as it seems and that the killer may be closer than she ever imagined .  \nSummarization  \nPrompt: summarize this text : It was a dark and stormy night when the body was found . The small town of Millfield was in shock as the news spread that one of their own , local businessman , had been murdered in cold blood . The police were at a loss for leads and the residents of the town were on edge . But one person , a young and ambitious reporter , was determined to uncover the truth and find the killer . Little did she know , this case would lead her down a treacherous path of lies , deception , and hidden secrets that would shake the very foundations of t he town . As she delves deeper into the investigation , she begins to realize that nothing is as it seems and that the killer may be closer than she ever imagined .  \nA young reporter in a small town investigates the murder of a local businessman and uncovers a web of lies , deception and hidden secrets that shake the foundations of t he town . The police have no leads and the town is on edge . The reporter delves deeper into the investigation and realizes the killer may be closer than she imagined .  \n[www.neuralmagic.com](www.neuralmagic.com) 2  \nOpen Domain Question Answering  \nPrompt: when did Apollo 11 land on the moon  \nApollo 11 landed on the moon on July 20 , 1969 .  \nParaphrasing  \nPrompt: rewrite this text : Apollo 11 landed on the moon on July 20 , 1969  \nOn July 20 , 1969 , the Apollo 11 mission successfully landed on the moon .  \nSentiment Analysis (few-shot or zero-shot)  \nPrompt: I like pizza , positive  \nI don 't like pizza , negative  \nsometimes , I like pizza sometimes I don 't , neutral  \nwhile the movie was good , I sometimes though it was a bit dry ,  \nneutral  \n[www.neuralmagic.com](www.neuralmagic.com) 3  \nTable to Text  \nPrompt: summarize the data in this table : I like pizza positive I don 't like bananas negative  \nSometimes I like pizza but sometimes I don 't neutral  \nWhile the movie in general was pretty good , I sometimes thought it was a bit dry neutral  \nThis table contains four statements , two of them express a positive and negative opinion about two different subjects , Pizza and Bananas . Other two statements express a neutral opinion about the same subjects , Pizza and a movie .  \nText to Table  \nPrompt: create a table from this text : create a 2 column table where the first column contains the stock ticker symbol for Apple , Google , Amazon , Meta , and the other column contains the names of the companies .  \n[www.neuralmagic.com](www.neuralmagic.com) 4  \nToken Classification (few-shot or zero-shot)  \nPrompt: classify the named entities in this text : George Washington and his troops crossed the Delaware River on Decem","cbCaiqlou56CqQuf","https://ap.wps.com/l/cbCaiqlou56CqQuf","pdf",738943,"English","# Table of Contents\n## NLP Tasks\n## Code\n## Structured Output Styles\n## Unstructured Output Styles\n## Media Types\n## Meta ChatGPT\n## Expert Prompting","[{\"question\":\"What NLP tasks does the cheat sheet cover for prompting ChatGPT?\",\"answer\":\"It covers text generation, summarization, open-domain question answering, paraphrasing, sentiment analysis, table-to-text, text-to-table, and token/entity classification.\"},{\"question\":\"How does the cheat sheet demonstrate structured versus unstructured prompting?\",\"answer\":\"It separates examples that request specific formats or outputs (structured output styles) from those that request more general responses (unstructured output styles).\"},{\"question\":\"What coding-related examples are included in the cheat sheet?\",\"answer\":\"It includes code generation prompts (e.g., making an HTTP request in Python) and code explanation prompts that break down Python pipeline code for question-answering.\"}]","ChatGPT Cheat Sheet | PDF",1791926433]