Events

This thesis argues that if LLMs are to engage meaningfully with the full spectrum of human language, they must also demonstrate proficiency in literary analysis

In the first part of my thesis, I introduce split parallelism, a novel  abstraction that addresses the limitations of traditional data parallelism on GPUs.

We will discuss the risks, the challenges, and the opportunities that Large Language Models (LLMs) bring regarding factuality.

This virtual session will take you through each element of the MS in CS application process.

In this thesis, we first focus on discrimination in supervised learning.