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This is a documentation subpage for Template:Generative AI editnotice. It may contain usage information, categories and other content that is not part of the original template page. This is an editnotice template for use on articles or talk pages about generative artificial intelligence , in order to deter users from mistakenly entering prompts ...
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Template documentation This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is fully visible.
No description. Template parameters [Edit template data] Parameter Description Type Status Name 1 Name of the software associated with the editnotice Default The rightmost subpage of the editnotice title, with extraneous strings removed Example ChatGPT String optional URL url Website address of the software Default Property P856 on the Wikidata item associated with the article Example https ...
Old chatbots, based on symbolic AI, were also "AI-based", whereas modern chatbots are based on large language models (or machine learning if you want to be more inclusive). But I still like having in the title something that says that the template is only about modern chatbots, because otherwise you will include a lot of historical chatbots ...
Generative artificial intelligence is artificial intelligence capable of generating text, images, or other media in response to prompts. [198] [199] Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics, typically using transformer-based deep neural networks.
In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6]
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.