Our interdisciplinary team explores cutting-edge approaches to advance the capabilities, safety, and applications of generative AI systems.
Developing more capable, efficient, and aligned language models through novel architecture improvements and training methodologies.
Creating AI systems that seamlessly integrate text, image, audio, and video understanding for more natural human-computer interaction.
Researching techniques to ensure AI systems remain safe, interpretable, and aligned with human values and intentions.
Exploring methods to reduce computational requirements while maintaining or improving model capabilities.
Building models with improved reasoning abilities that can understand causality and perform multi-step logical deductions.
Enhancing AI systems to better understand and respect cultural nuances across global languages and contexts.
Our latest research demonstrates how compositional learning techniques can significantly enhance zero-shot generalization capabilities in large language models, reducing parameter count while improving performance on complex reasoning tasks.
Aryuemaan Chowdhury
Lead AI Researcher & CEO
At OSCOWL AI Research, we've built a collaborative environment where interdisciplinary teams of researchers, engineers, and domain experts work together to tackle the most challenging problems in artificial intelligence.
Access to state-of-the-art computing resources enabling large-scale model training and experimentation.
Teams combining expertise in machine learning, linguistics, neuroscience, ethics, and social sciences.
Strong collaborations with leading universities and research institutions worldwide.
We're building a team of exceptional researchers and engineers who are passionate about advancing the field of generative AI and creating systems that benefit humanity.