Our team is conducting industry leading research
Welcome to our research page, where we delve into our work on foundational principles of generative deep learning architectures and algorithms, focusing primarily on Large Language Models (LLMs). Our research is dedicated to unraveling the intricate mechanics of these systems, drawing inspiration from deep network geometry and insights from neuroscience.
Here's a glimpse into our ongoing research initiatives
Transfer Learning in Generative AI
Trustworthy Generative AI
Resource-Efficient Generative AI

Reasoning in Large Language Models: A Geometric Perspective

Scaling Laws for Forgetting When Fine-Tuning Large Language Models

Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation
