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2. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-Video_model

   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]

3. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   t. 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 June 2024 it is unreleased and not yet available to the public.

4. Runway (company) - Wikipedia

   en.wikipedia.org/wiki/Runway_(company)

   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.

5. Here's how to spot AI-generated images, videos, audio and text

   www.aol.com/heres-spot-ai-generated-images...

   To spot AI text, images and videos, it helps to start with a healthy sense of skepticism toward anything you see online. Don't take photos or videos at face value, especially if they make you very ...

6. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...

7. GPT-2 - Wikipedia

   en.wikipedia.org/wiki/GPT-2

   GPT-2 was pre-trained on a dataset of 8 million web pages. It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. GPT-2 was created as a "direct scale-up" of GPT-1 with a ten-fold increase in both its parameter count and the size of its training dataset.