Our faculty are engaged in research projects ranging from language documentation and morphological analysis to semantic analysis to Biomedical Informatics. We are also currently working on an ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development. For several decades now, the most innovative ...

Overview Natural Language Processing (NLP) has evolved into a core component of modern AI, powering applications like chatbots, translation, and generative AI s ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...

It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI was ...