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Template documentation For the maintenance tag, see Template:AI-generated . 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.
{{google|1 pound in kilograms {{=}}}} 1 pound in kilograms = Use Template:= to add an = sign to trigger Google Calculator when necessary; that template cannot be substituted. {{google|1 pound in kilograms}} 1 pound in kilograms: Google may display Calculator results for some expressions even if they lack a trailing equals sign.
Announced in 2016, Gym is an open-source Python library designed to facilitate the development of reinforcement learning algorithms. It aimed to standardize how environments are defined in AI research, making published research more easily reproducible [24] [137] while providing users with a simple interface for interacting with these ...
Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google. Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS .
Google Docs Editors is a web-based productivity office suite offered by Google within its Google Drive service. The suite includes: Google Docs (word processor) Google Sheets (spreadsheet) Google Slides (presentation software), Google Drawings (vector drawing program) Google Forms (online forms, quizzes and surveys) Google Sites (graphical ...
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.
Never miss a story — sign up for PEOPLE's free ... I’ll walk around and I’ll just yell at you for leaving a lot of doors and drawers open just so I don’t yell at you when you get home ...
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.