Co-authored by Nigel Bairstow, Ph.D., and Salman Majeed, Ph.D. In a rapidly changing educational space today, classrooms must ...
Abstract: Training deep learning models is computationally demanding and data-intensive. Existing approaches utilize local SSDs within training servers to cache datasets, thereby accelerating data ...
It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
Abstract: Log data plays a vital role in the maintenance and fault diagnosis of computer systems. However, with the increase of system size and complexity, manual log analysis will take a lot of ...
No matter how much snow New York City gets during the impending storm, Monday won't be a snow day for public school students. Instead, there likely will a system-wide pivot to remote learning. Just ...
LogAI is a one-stop open source library for log analytics and intelligence. LogAI supports various log analytics and log intelligence tasks such as log summarization, log clustering, log anomaly ...
Use the following AI prompts with Microsoft Copilot to help create accessible content. To use these prompts, log in to your Microsoft Copilot Work account with your Purdue Career Account credentials.
Post by Dr. Anastasia Kitsantas, George Mason University. Choosing the right tutor is like choosing the right tool for the job. When parents and teachers think of tutoring, they often picture a ...
Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results