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

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

   Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]

3. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   The first is generic summarization, which focuses on obtaining a generic summary or abstract of the collection (whether documents, or sets of images, or videos, news stories etc.). The second is query relevant summarization, sometimes called query-based summarization, which summarizes objects specific to a query. Summarization systems are able ...

4. TL;DR: This AI summarizes research papers so you don ... - AOL

   www.aol.com/tl-dr-ai-summarizes-research...

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5. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   Otter.ai was founded as AISense in 2016 by Sam Liang and Yun Fu, two computer science engineers with a long history of working with artificial intelligence. [2] [3] In January 2018, the company announced a partnership with Zoom Video Communications to transcribe video meetings post-conference. [4]

6. Text-to-video model - Wikipedia

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

   Free plan available, Paid plans starting at $16/month Varies depending on content type Multiple (not specified) Fliki Fliki AI 2022 Released Text-to-video with AI avatars and voices, extensive language and voice support [40] Supports 65+ AI avatars and 2,000+ voices in 70 languages [40] Free plan available, Paid plans starting at $30/month

7. Multi-document summarization - Wikipedia

   en.wikipedia.org/wiki/Multi-document_summarization

   Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.