T arget: person's face stands out against a swirling, abstract background, their expression one of

Instruction tuning large language models (LLMs) using machine-generated instruction-following data has been shown to improve zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field.

Fans Call on Taylor Swift to'Do Better' After Accusations of Using AI for Promo Videos A scavenger hunt campaign to promote Taylor Swift's new album, resulted in a viral #SwiftiesAgainstAI campaign. Fans attend a screening of at a theater in Los Angeles. These were just some of the alleged clues that fans spotted in promo videos for Taylor Swift's new album,, this weekend. They were, to their eyes, telltale indicators that the videos were purportedly made with generative AI . "The first sign that it was AI was that it didn't look great," claims Marcela Lobo, a graphic designer in Brazil who has been a Swift fan since she was 12. "It was wonky, the shadows didn't match, the windows and the painted piano, it looked like shit, basically."

How does a user's consent decision influence

Age and gender biases are baked into what we see online, a large new study confirms. Get your news from a source that's not owned and controlled by oligarchs. In the 1970s, when researchers asked children to draw a scientist, 99 percent of them drew a man . As this experiment was repeated over 50 years, the number of women drawn increased, and within the past decade, more than half of girls will draw a woman when asked what a scientist looks like. Today, Google search results tend to agree with these children's drawings.

Text-guided image editing is widely needed in daily life, ranging from personal use to professional applications such as Photoshop. However, existing methods are either zero-shot or trained on an automatically synthesized dataset, which contains a high volume of noise. Thus, they still require lots of manual tuning to produce desirable outcomes in practice.

Typically labels for these tasks come from human annotators.

Subject-driven image generation is related to text-driven image editing but often needs to perform more sophisticated transformations to source images (e.g., rotating the view, zooming in/out, changing the pose of