DALL·E 2 is an AI system that can create realistic images and art from a description in natural language.
![DALL·E 2](https://cdn-ak-scissors.b.st-hatena.com/image/square/d84449146043113ac0acebbbf1fe2834a170b90c/height=288;version=1;width=512/https%3A%2F%2Fimages.openai.com%2Fblob%2Fa9c10400-3e5e-4190-81ee-7fcc07a1709b%2Fdall-e-2-poster.jpg%3Ftrim%3D0%252C652%252C0%252C608%26width%3D1000%26quality%3D80)
Video carousel navigationGo to slide 1Go to slide 2Go to slide 3Go to slide 4Go to slide 5Go to slide 6 OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages
A long-term objective of artificial intelligence is to build “multimodal” neural networks—AI systems that learn about concepts in several modalities, primarily the textual and visual domains, in order to better understand the world. In our latest research announcements, we present two neural networks that bring us closer to this goal. The first neural network, DALL·E, can successfully turn tex
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