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2. OpenAI launches AI video generator Sora to the public - AOL

   www.aol.com/openai-launches-ai-video-generator...

   As part of Shipmas Day 3, OpenAI just launched its AI video generator, Sora, to the public. Sora can generate up to 20-second videos from written instructions. The tool can also complete a scene ...

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

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

   A video generated by Sora of someone lying in a bed with a cat on it, containing several mistakes The technology behind Sora is an adaptation of the technology behind DALL-E 3 . According to OpenAI, Sora is a diffusion transformer [ 10 ] – a denoising latent diffusion model with one Transformer as the denoiser.

4. OpenAI releases AI video generator Sora to all customers - AOL

   www.aol.com/openai-releases-ai-video-generator...

   Artificial intelligence company OpenAI released the video generation program Sora for use by its customers Monday. The program ingests written prompts and creates digital videos of up to 20 seconds.

5. Text-to-video model - Wikipedia

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

   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 Varies based on subscription 70+ Runway Gen-2 Runway AI 2023 Released Multimodal video generation from text, images, or ...

6. Dream Machine (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Dream_Machine_(text-to...

   Dream Machine is a text-to-video model created by the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator. It was released to the public on June 12, 2024, which was announced by the company in a post on X alongside examples of videos it created. [1]

7. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.