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Many pedestrians walk about. 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.
e. 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 August 2024 it is unreleased and not yet available to the public.
Video generated by Sora with prompt Borneo wildlife on the Kinabatangan River. Generative AI trained on annotated video can generate temporally-coherent, detailed and photorealistic video clips. Examples include Sora by OpenAI, [10] Gen-1 and Gen-2 by Runway, [52] and Make-A-Video by Meta Platforms. [53]
On January 25, 2015, NBC began indicating that the video podcast of the program would be discontinued [39] and refers users to the news division's website or mobile apps to view editions of Nightly News on mobile devices, although such apps are not compatible with devices that feature podcast support such as early generation Apple TV or Roku ...
Gen-2 is a multimodal AI system that can generate novel videos with text, images or video clips. The model is a continuation of Gen-1 and includes a modality to generate video conditioned to text. Gen-2 is one of the first commercially available text-to-video models. [28] [29] [30] [31]
Oxygen (branded on air as Oxygen True Crime) is an American television network owned by the NBCUniversal Media Group division and business segment of NBCUniversal, a subsidiary of Comcast. The channel primarily airs true crime programming and dramas targeted towards women. The network was founded by Geraldine Laybourne and Oprah Winfrey, and ...
The situation is more critical in the case of human detection of AI-generated . text. Analysis of a large sample of text (n=780) shows that raters’ ability to . identify AI-generated text decreased from 57.7% with ChatGPT2 to 49.9% with ChatGPT3 (Clark et al., 2021). In other words, the ability of human
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. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]