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 ...

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, ...

Students in the new, experimental AI Tools for Software Development course learn how to apply a software engineering mindset to make AI tools more reliable. It took a room full of Carnegie Mellon ...

remove-circle Internet Archive's in-browser audio with external links "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on ...

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 ...

From data collection to ready-made datasets, Bright Data allows you to retrieve the data that matters.

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 ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...