OpenAI says the latest version of its text-to-video artificial intelligence (AI) tool Sora was downloaded over a million times in less than five days - hitting the milestone faster than ChatGPT did at launch. The app, which has topped the Apple App Store charts in the US, generates ten second long realistic-looking videos from simple text prompts. The figures were announced in an X post from Sora boss Bill Peebles, who said the surging growth came even though the app was only available to people in North America who had received an invite. The Sora app - which makes it easy for users to post videos they have created to social media - has resulted in a deluge of videos on social feeds. Some have included depictions of deceased celebrities such as musicians Michael Jackson and Tupac Shakur.

To address these questions, we propose analyzing a model's learning

Furthermore, we explore the potential of language models in generating co-crystals. Finally, we present numerous previously unknown co-crystals predicted by GEM-CODE and discuss its potential in accelerating drug development.

The prompt-based paradigm has fostered two recent human-AI interaction trends.

This shift is exemplified at a policy level by OpenAI's "democratic inputs to AI" program [

The popular classifier-free guidance approach uses an unconditional model to guide a conditional model, leading to simultaneously better prompt alignment and higher-quality images at the cost of reduced variation. These effects seem inherently entangled, and thus hard to control.

To address this need, we contribute Holistic Evaluation of Multimodal Models ( HEMM), visualized in Figure 1. HEMM, as an evaluation framework, goes beyond conventional lists of datasets to emphasize holistic benchmarking at three levels.

Text-to-image generative models are capable of producing high-quality images that often faithfully depict concepts described using natural language.