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This month, it’s OpenAI’s new image-generating model, DALL·E. This behemoth 12-billion-parameter neural network takes a text caption (i.e. “an armchair in the shape of an avocado”) and ...
DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) 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.
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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Last December, OpenAI said it was testing reasoning AI models, o3 and o3 mini, indicating growing competition with rivals such as Alphabet's Google to create smarter models capable of tackling ...
OpenAI o3 is a reflective generative pre-trained transformer (GPT) model developed by OpenAI as a successor to OpenAI o1. It is designed to devote additional deliberation time when addressing questions that require step-by-step logical reasoning. [1] [2] OpenAI released a smaller model, o3-mini, on January 31st, 2025. [3]
OpenAI and non-profit partner Common Sense Media have launched a free training course for teachers aimed at demystifying artificial intelligence and prompt engineering, the organizations said on ...
An image generated by Stable Diffusion based on the text prompt "a photograph of an astronaut riding a horse" Text-to-image models captured widespread public attention when OpenAI announced DALL-E, a transformer system, in January 2021. [30] A successor capable of generating complex and realistic images, DALL-E 2, was unveiled in April 2022. [31]