This work improves existing noise sampling techniques for training rectified flow models by biasing them towards perceptually relevant scales and presents a novel transformer-based architecture for text-to-image generation that uses separate weights for the two modalities and enables a bidirectional flow of information between image and text tokens.
This System Card provides a detailed look at GPT-4o's capabilities, limitations, and safety evaluations across multiple categories, focusing on speech-to-speech while also evaluating text and image capabilities, and measures the authors've implemented to ensure the model is safe and aligned.
This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models, and presents comprehensive evaluations of safety and responsibility aspects of the models, alongside a detailed description of model development.
PaliGemma is an open Vision-Language Model that is based on the SigLIP-So400m vision encoder and the Gemma-2B language model that achieves strong performance on a wide variety of open-world tasks.
A framework to be followed during preclinical investigation of nanomedicines to increase their translatability potential is proposed and will help accelerate the clinical translation and maximize the impact of nanomedicines.
Results, where the intrinsic error suppression of the bosonic encodings enables us to use a hardware-efficient outer error-correcting code, indicate that concatenated bosonic codes can be a compelling model for reaching fault-tolerant quantum computation.
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