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 ...

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 ...

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 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 ...

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 ...

Problem: Teams waste weeks integrating multiple LLM providers, handling failures, and tracking costs across disparate APIs. Solution: Single interface with automatic failover, built-in cost tracking, ...

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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 ...