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Generative AI models are used to power chatbot products such as ChatGPT, programming tools such as GitHub Copilot, [83] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [84] Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office ...
Grok-2 mini is a “small but capable sibling” of Grok-2 that “offers a balance between speed and answer quality”, according to xAI, and was released on the same day of the announcement. [25] Grok-2 was released six days later, on August 20. [26] On October 28, 2024, Grok received image understanding capabilities. [27]
ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2]
Several other text-to-video generating models had been created prior to Sora, including Meta's Make-A-Video, Runway's Gen-2, and Google's Lumiere, the last of which, as of February 2024, is also still in its research phase. [3]
Generative Pre-trained Transformer 4Chan (GPT-4chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. . The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset of millions of posts from the /pol/ board of 4chan, an anonymous online forum known for hosting ...
The viral 'Goodbye Meta AI' post on people's Instagram Stories doesn't actually protect their data. Katie Mather. September 25, 2024 at 7:59 AM. Silas Stein/Getty Images (picture alliance via ...
DALL-E 2 is a 3.5-billion cascaded diffusion model that generates images from text by "inverting the CLIP image encoder", the technique which they termed "unCLIP". The unCLIP method contains 4 models: a CLIP image encoder, a CLIP text encoder, an image decoder, and a "prior" model (which can be a diffusion model, or an autoregressive model).
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