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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/sites/cherryleaf.com/public_html/wp-includes/functions.php on line 6114ChatGPT<\/a> was launched last week. On the OpenAI.com website, it states<\/a>:<\/p>\n ChatGPT: Optimizing Language Models for Dialogue Generative Pre-trained Transformer 3 (GPT3) is an AI language model that uses deep learning to produce human-like text. Given an initial text as prompt, it will produce text.<\/p>\n It’s caused quite a stir. For example: AI bot ChatGPT stuns academics with essay-writing skills and usability<\/a>.<\/p>\n A few people have been experimenting with it, to see if it can generate technical documentation when prompted. We have too. Below are a few of our experiments:<\/p>\n <\/p>\n<\/a>\n Our question: Document how to turn on autosave in Word for Microsoft 365.<\/p>\n ChatGPT’s response:<\/p>\n Compare that to Microsoft’s Help topic:<\/p>\n<\/a>\n Both answers are correct, but one is definitely better than the other.<\/p>\n<\/a>\n Our question: Document how to get accident details for accidents occurring in 2020 from the Transport for London Unified API.<\/p>\n ChatGPT’s response:<\/p>\n To obtain accident details for accidents occurring in 2020 from the Transport for London Unified API, follow these steps:<\/em><\/p>\n That’s an impressive answer, apart from the fact that the API no longer requires people to sign up for an API key.<\/p>\n ChatGPT seems to offer an interesting way to create instructional content automatically.<\/p>\n Does that mean it’s bad news for Technical Authors?<\/p>\n Well, developers can already create instructions quickly, by taking a series of screenshots and pasting them into a document. Quick and dirty, and usually an approach that organisations avoid.<\/p>\n The text generated by ChatGPT is a little wordy, so it probably would need an edit before it was published.<\/p>\n So we think ChatGPT could be a time saving tool for Technical Authors, rather than a threat to their careers.<\/p>\n There will still be a need to decide what content users will need, how to organise that content, and to check the content generated is the best answer.<\/p>\n And, of course, there will be an ongoing need to maintain the documentation.<\/p>\n","protected":false},"excerpt":{"rendered":" ChatGPT was launched last week. On the OpenAI.com website, it states: ChatGPT: Optimizing Language Models for Dialogue We\u2019ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling… Read more »<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[863,862,278,303],"class_list":["post-16477","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-chatgpt","tag-gpt3","tag-technical-documentation","tag-trends"],"acf":[],"yoast_head":"\n
\nWe\u2019ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.<\/p><\/blockquote>\n\n
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So what does this mean for the future of technical documentation?<\/h2>\n