Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...

Recipients of AI seed funds have developed innovative projects that advance the use of generative AI in teaching and learning at UB. This page highlights the recipients whose creative ideas transform ...

Microsoft has warned that information-stealing attacks are "rapidly expanding" beyond Windows to target Apple macOS environments by leveraging cross-platform languages like Python and abusing trusted ...

L ast semester, I decided that I would no longer assign analytical papers in any of my large social science classes. This is a drastic change: mMy usual framework is that large 4-unit classes should ...

Next wave of AI capabilities in Canvas LMS demonstrates commitment to a privacy-first, interoperable future for education While the edtech market has been flooded with isolated AI point solutions that ...

The challenge of generative AI in education is to fundamentally determine what matters. I think writing matters. Here’s why: If we want students to learn how to write, they must write. Knowing how to ...

Learn to build high-performance LLM apps in Python! Today, it is easier than ever to put up a working AI SaaS app. However, improving the usability of the application is often a challenge, especially ...

According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...