Advertising in Telegram is as unobtrusive as possible, turning it off will not change much, and full-screen stickers and starred profiles are nothing more than tinsel. But in any case, there will be a lot of people willing to connect Premium. Generating images from description or how the DALL-E neural network works. You've probably seen surreal images on social media like "an astronaut riding a horse" or "two chemical dogs wearing safety glasses." You might think that these are the works of some new talented artist with an overdeveloped imagination. But no - all these images were created by the DALL-E neural network, which was introduced in April by OpenAI.
With its help, any person can create realistic images with any plot, and in a very short time - it seems that soon artists will be as needed as before. The technology is promising, so access to it is open only to selected people. However, there is a way to at least slightly appreciate the possibilities of an Switzerland WhatsApp Number List amazing neural network - we will talk about it and try to create our own unique pictures. How does the DALL-E neural network draw from words? The history of the neural network, which creates pictures based on text description, began in . It was then that the OpenAI company created DALL-E technology, which created illustrations.
Already a year later, the developers presented its improved version DALL-E , which better understands keywords for image generation and produces photorealistic images in a higher resolution. To describe the principle of operation of the DALL-E neural network requires a huge article and knowledge of machine learning, so we will do with a short description in as simple words as possible. First of all, a person writes a description of the image he wants to receive - this data is processed by the CLIP model, which is trained on hundreds of millions of images and associated text descriptions.