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Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of July 2024 it is unreleased and not yet available to the public.
Text-to-video model. A text-to-video model is a machine learning model that takes a natural language description as input and produces a video relevant to the input text. [1] Recent advancements in generating high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [2]
Runway AI, Inc. Runway AI, Inc. (also known as Runway and RunwayML) is an American company headquartered in New York City that specializes in generative artificial intelligence research and technologies. [1] The company is primarily focused on creating products and models for generating videos, images, and various multimedia content.
Generative AI has been used in video game production beyond imagery, especially for level design (e.g., for custom maps) and creating new content (e.g., quests or dialogue) or interactive stories in video games. Some AI can also generate videos, either from text, an image, or a video. This is known as a text-to-video model. Examples of this are ...
This field holds potential for transforming video production, animation, and storytelling. By utilizing the power of artificial intelligence, TTV allows users to bypass traditional video editing tools and translate their ideas into moving images. Models include: Runway Gen-2 – Offers a user-friendly interface and supports various video styles
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t. e. Generative Pre-trained Transformer 2 ( GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019.
YouTube Videos inside EFL Classroom In addition to animation, the web.2 generation has shown a great interest in using the YouTube movies. Benson (2015) believes that the gradual universal spreading of technological devices like smartphones, laptops, iPads, etc., helped the new generation to have their own say in using
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