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 ...
Conclusions: We present a data-based, step-by-step tutorial for interdisciplinary development of CARDIO, a specialized LLM, for cardiovascular health education in HIV care.
TeamPCP, the threat actor behind the recent compromises of Trivy and KICS, has now compromised a popular Python package named litellm, pushing two malicious versions containing a credential harvester, ...
CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, ...
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 ...
A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...
Abstract: Short-answer questions are commonly used in educational assessments, as they are often viewed as a more effective way than multiple-choice questions to determine whether students have ...
The University Insider is The Daily’s first faculty and staff-oriented newsletter. This weekly newsletter will give U-M faculty and staff the ability to see the most important issues on campus and in ...
If we want students to learn to write, AI tools shouldn’t have much of a role. If we don’t think students need to learn to write anymore, I’m not sure what we’re doing here. The challenge of ...
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 ...