of AI’s ability to visually represent concepts, from mundane depictions of a mannequin in a flannel shirt to “a giraffe made of turtle” or an illustration of a radish walking a dog. At the time, OpenAI said it would continue to build on the system while examining potential dangers like bias in image generation or the production of misinformation.
DALL-E 2 builds on CLIP, a computer vision system that OpenAI also announced last year. “DALL-E 1 just took our GPT-3 approach from language and applied it to produce an image: we compressed images into a series of words and we just learned to predict what comes next,” says OpenAI research scientist Prafulla Dhariwal, referring to. But the word-matching didn’t necessarily capture the qualities humans found most important, and the predictive process limited the realism of the images.
DALL-E’s full model was never released publicly, but other developers have honed their own tools that imitate some of its functions over the past year. One of the most popular mainstream applications, which generates pictures of whatever users describe in a variety of art styles. OpenAI isn’t releasing any new models today, but developers could use its technical findings to update their own work.OpenAI has implemented some built-in safeguards.
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