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15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media. [1] Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from video games, television shows, and movies speak ...
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 ...
Character.ai was established in November 2021. [1] The company's co-founders, Noam Shazeer and Daniel de Freitas, were both engineers from Google. [7] While at Google, the co-founders both worked on AI-related projects: Shazeer was a lead author on a paper that Business Insider reported in April 2023 "has been widely cited as key to today's chatbots", [8] and Freitas was the lead designer of ...
America Online introduced instant messaging for its membership in 1996 and included a limited number of "buddy icons," picking up on the avatar idea from PC games. When AOL later introduced the free version of its messenger, AIM, for use by anyone on the Internet, the number of icons offered grew to be more than 1,000 and the use of them grew ...
In March 2024, two generative artificial intelligence tools were introduced to Roblox Studio in an effort to speed up content creation: automatic avatar customization and a texture generator. The avatar customization feature automatically converts three-dimensional body meshes into live-animated avatars, and the texture generator allows users ...
The generator aims to minimize the objective, and the discriminator aims to maximize the objective. The generator's task is to approach , that is, to match its own output distribution as closely as possible to the reference distribution. The discriminator's task is to output a value close to 1 when the input appears to be from the reference ...