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A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.
DALL-E 3 was released natively into ChatGPT for ChatGPT Plus and ChatGPT Enterprise customers in October 2023, [1] with availability via OpenAI's API [2] and "Labs" platform provided in early November. [3] Microsoft implemented the model in Bing's Image Creator tool and plans to implement it into their Designer app. [4]
Generative AI: Generative AI is an AI that can create things like text, images, sound and video. Traditional applications of AI largely classify content, while generative AI models create it.
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Generative AI can be either unimodal or multimodal; unimodal systems take only one type of input, whereas multimodal systems can take more than one type of input. [59] For example, one version of OpenAI 's GPT-4 accepts both text and image inputs.
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