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2. Generative artificial intelligence - Wikipedia

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

   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] These models often generate output in response to specific prompts.

3. Ideogram (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

   Glossary. v. t. e. Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1][2]

4. OpenAI - Wikipedia

   en.wikipedia.org/wiki/OpenAI

   Sora is a text-to-video model that can generate videos based on short descriptive prompts [201] as well as extend existing videos forwards or backwards in time. [202] It can generate videos with resolution up to 1920x1080 or 1080x1920. The maximal length of generated videos is unknown.

5. Microsoft PowerPoint - Wikipedia

   en.wikipedia.org/wiki/Microsoft_PowerPoint

   It can't create new presentations. [97] [98] Versions of PowerPoint Mobile for Windows Phone 7 can also watch presentation broadcasts streamed from the Internet. [99] In 2015, Microsoft released PowerPoint Mobile for Windows 10 as a universal app. In this version of PowerPoint users can create and edit new presentations, present, and share ...

6. Adobe Firefly - Wikipedia

   en.wikipedia.org/wiki/Adobe_Firefly

   Website. firefly.adobe.com. Adobe Firefly is a generative machine learning model included as part of Adobe Creative Cloud. It is currently being tested in an open beta phase. [1][2][3] Adobe Firefly is developed using Adobe's Sensei platform. Firefly is trained with images from Creative Commons, Wikimedia and Flickr Commons as well as 300 ...

7. Text-to-video model - Wikipedia

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

   A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .