Explore our latest research papers and contributions to AI advancement, focusing on large language models, AI safety, and cutting-edge machine learning techniques.
This paper explores novel approaches to integrating visual and textual understanding in large-scale language models, demonstrating significant improvements in cross-modal reasoning tasks.
We propose a comprehensive framework for ensuring AI systems remain aligned with human values while maintaining robustness against adversarial scenarios and unintended behaviors.
We introduce novel optimization techniques that reduce computational requirements for training vision transformers by 40% while maintaining or improving performance on benchmark datasets.