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  2. 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 Luma Labs and launched in June 2024. It generates video output based on user prompts or still images. Dream Machine has been noted for its ability to realistically capture motion, while some critics have remarked upon the lack of transparency about its training data.

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

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

    Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.

  4. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [80] Google Photos, [81] and the Adobe Suite (Adobe Firefly). [82] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [83] language model.

  5. Big changes are coming to AI in 2025: Microsoft - AOL

    www.aol.com/finance/big-changes-coming-ai-2025...

    Microsoft says AI will change in some big ways in 2025. ... AI will also become increasingly multimodal over the next year, helping it to do things like interact with text, visual, and audio ...

  6. Google’s latest AI will change the way we use the internet ...

    www.aol.com/news/google-latest-ai-change-way...

    Google’s latest AI will change the way we use the internet forever. Anthony Cuthbertson. December 12, 2024 at 12:07 PM. ... meaning it can understand information via text, audio, video and image ...

  7. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.

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