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OpenAI Used These Best Practices to Mitigate Risks While Training DALL-E 2
Preventing toxic content, reducing bias and memorization have been some of the main challenges faced by the DALL-E 2 team.
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The deep learning space is experiencing a small innovation in the area of text-to-Image synthesis. Models such as OpenAI’s DALL-E 2, Midjourney, Meta’s Make-A-Scene, Stable Diffusion or Google’s Imagen have been pushing the boundaries of image generation based on textual inputs. Beyond the breathtaking capabilities exhibited by these models, they pose major ethical risks as they can be used to generate fake, abusive, unethical or racist content. This is the main reason while companies like…