What is it and how to use it in marketing?
Feb 15, 2024 2:18:56 GMT -5
Post by alicebapary717 on Feb 15, 2024 2:18:56 GMT -5
We've all heard about the possibilities of artificial intelligence, because it seems like literally everyone is talking about it in the last year. At the same time, opinions about its benefits differ greatly - some see it as dangerous, some are neutral about it. And there are those who are already using AI to optimize work processes and create impressive creatives. Today, on the example of DALL-E technology, we will learn how to apply the capabilities of artificial intelligence in marketing activities. What is DALL-E? DALL-E is an artificial intelligence technology that is able to generate high-quality images based on a text request called a prompt. The platform was launched inJanuary 2021by OpenAI, which is known worldwide for its ChatGPT chatbot. The project was sponsored by Microsoft.
The "DALL" part in the name comes from the name of the Spanish surrealist artist Salvador Dali, and the "E" from the name of the Pixar cartoon character, the work of Wall-E. GIVE HER Read also : Tools for email marketing based on AI DALL-E capabilities The model from OpenAI is not only Poland Email List capable of generating images on demand, but also: Form complex images by combining different concepts. Create images similar to the proposed original. Combine two images to get a third. Complement the background of the original image using the Outpainting function, which allows you to expand known paintings and develop new plots on them. Change the composition, shadows and texture of the image, as well as add and remove objects. Create photorealistic images. Edit photos.
Restrictions on the use of DALL-E The model has numerous advantages in use, but there are some limits to its capabilities: Copyright: the copyright dispute over the images created by DALL-E and the question of the legality of its teaching on copyrighted materials remain problematic issues. Moral aspects of creativity: some express doubts about the ethics and legitimacy of art created with the help of artificial intelligence and its interaction with human creativity. Limited dataset: Despite the extensive dataset on which DALL-E is based, it may not have enough information to perfectly reproduce the image based on user cues. Realism: Although DALL-E 3 has improved the quality of images, some of them may not reach the expected level of realism. Necessary context: the clarity and detail of the cue determine the accuracy of the DALL-E generated image; insufficient context can lead to inaccuracies in rendering.
The "DALL" part in the name comes from the name of the Spanish surrealist artist Salvador Dali, and the "E" from the name of the Pixar cartoon character, the work of Wall-E. GIVE HER Read also : Tools for email marketing based on AI DALL-E capabilities The model from OpenAI is not only Poland Email List capable of generating images on demand, but also: Form complex images by combining different concepts. Create images similar to the proposed original. Combine two images to get a third. Complement the background of the original image using the Outpainting function, which allows you to expand known paintings and develop new plots on them. Change the composition, shadows and texture of the image, as well as add and remove objects. Create photorealistic images. Edit photos.
Restrictions on the use of DALL-E The model has numerous advantages in use, but there are some limits to its capabilities: Copyright: the copyright dispute over the images created by DALL-E and the question of the legality of its teaching on copyrighted materials remain problematic issues. Moral aspects of creativity: some express doubts about the ethics and legitimacy of art created with the help of artificial intelligence and its interaction with human creativity. Limited dataset: Despite the extensive dataset on which DALL-E is based, it may not have enough information to perfectly reproduce the image based on user cues. Realism: Although DALL-E 3 has improved the quality of images, some of them may not reach the expected level of realism. Necessary context: the clarity and detail of the cue determine the accuracy of the DALL-E generated image; insufficient context can lead to inaccuracies in rendering.