Advances in automation, artificial intelligence and robotics, while increasing productivity, will also cause major upheavals to the workforce.
What is DALL.E2?DALL·E 2 is another take over tool by OpenAI that can create realistic images and art from a description in natural language.
DALL-E2 is an improved version of DALL-E, a generative model developed by OpenAI that can create images from textual descriptions. DALL-E stands for “Dali + Wall-E”, as the model was inspired by the surrealist paintings of Salvador Dali and the character design of the animated movie Wall-E.
DALL-E2 builds upon the original DALL-E model by increasing its capacity and improving its training process. Specifically, DALL-E2 has 300 billion parameters, which is ten times larger than DALL-E’s 12 billion parameters. This allows the model to generate even more complex and detailed images that closely match the input text descriptions.
Like its predecessor, DALL-E2 uses a combination of deep learning techniques, including transformers and generative adversarial networks (GANs), to learn to generate images from text. The model was trained on a large dataset of text and image pairs and can generate a wide range of objects, scenes, and even abstract concepts, all based on textual descriptions.
DALL-E2 has been described as a significant advance in the field of artificial intelligence, with potential applications in a range of areas, including art, design, and e-commerce.
How to use DALL-E2
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Below is a video of how to start using DALL.E2