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Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...
Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco –based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI 's DALL-E and Stability AI 's Stable Diffusion. [1] [2] It is one of the technologies ...
DALL·E, DALL·E 2, and DALL·E 3 are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL·E 3 was released natively ...
t. e. Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of June 2024 it is unreleased and not yet available to the public.
stability .ai /stable-image. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .
t. e. Generative Pre-trained Transformer 2 ( GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019.
Artificial intelligence was founded as an academic discipline in 1956, [6] by those now considered the founding fathers of AI, John McCarthy, Marvin Minksy, Nathaniel Rochester, and Claude Shannon. [7] [8] The field went through multiple cycles of optimism, [9] [10] followed by periods of disappointment and loss of funding, known as AI winter.
With the exception of a few specialized apps (e.g., Seeing AI, Microsoft Lens), students with and without disabilities listed similar technologies. However, it is important to note that many of the AI-based apps are Google and Microsoft products. This study provided insight into the AI-based tools used by post-secondary students in 2020.
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