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.
The introduction is organized in a unique didactic manner developed by the authors, starting from more simple concepts such as linear programming and single-point methods, and advancing from these to more difficult concepts such as optimality conditions for nonlinear optimization and set-oriented solution algorithms.
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.
This work reviews the latest efforts for achieving hardware-based memristive artificial neural networks (ANNs), describing with detail the working principia of each block and the different design alternatives with their own advantages and disadvantages, as well as the tools required for accurate estimation of performance metrics.
A multicentre experience on pulmonary vein isolation via the pentaspline Farapulse™ PFA system vs. thermal-based technologies in a propensity score-matched population of paroxysmal atrial fibrillation patients is described.
It is shown that orally administered E. coli Nissle 1917 can selectively colonize adenomas in mouse models and in patients as a detection tool, as well as deliver immunotherapeutics for colorectal neoplasia treatment.
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