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See a monthly parameter usage report for Template:AI-generated in articles based on its TemplateData. TemplateData for AI-generated This tag is intended to identify articles that need extensive examination because they appear to have been generated using a large language model without rigorous scrutiny.
Infobox describing an algorithm Template parameters [Edit template data] Parameter Description Type Status Name name Name of algorithm Default {{PAGENAMEBASE}} Auto value {{PAGENAMEBASE}} Content required Problem class class Type of problem it solves Example Sorting Auto value Content required Image image filename only, no 'File:' or 'Image:' prefix, and no enclosing [[brackets]] Content ...
Generative artificial intelligence (generative AI, GenAI, [167] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 168 ] [ 169 ] [ 170 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 171 ...
Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
Recursive self improvement (aka seed AI) – speculative ability of strong artificial intelligence to reprogram itself to make itself even more intelligent. The more intelligent it got, the more capable it would be of further improving itself, in successively more rapid iterations, potentially resulting in an intelligence explosion leading to ...
Graphplan is an algorithm for automated planning developed by Avrim Blum and Merrick Furst in 1995. Graphplan takes as input a planning problem expressed in STRIPS and produces, if one is possible, a sequence of operations for reaching a goal state.