Browsing: Ai

Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning…

You’re not short on tools. Or models. Or frameworks. What you’re short on is a principled way to use them…

In the world of deep learning, especially within the realm of medical imaging and computer vision, U-Net has emerged as…

The beginning A few months ago, while working on the Databricks with R workshop, I came across some of their…

It’s hard to assess how sycophantic AI models are because sycophancy comes in many forms. Previous research has tended to…

About six weeks ago, I sent an email to Satya Nadella complaining about the monolithic winner-takes-all architecture that Silicon Valley…

Making these algorithms work for LLMs If we run these algorithms “out-of-the-box” for LLMs, things go badly. So, we came…

Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks…

Leaving it on the ice One by one, the athletes skated their routines to boisterous applause. And, one by one,…

Scientists at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT and Harvard have re-engineered…