You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Overview: Cloud automation simplifies infrastructure management by reducing manual tasks and improving deployment ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines ...

Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

The March session of the University of Iowa’s AI Lightning Talks, themed “AI in Research: Inside Faculty Workflows,” featured ...

Many Qwen LLMs are among the most popular models on Hugging Face (Fig. 1). Qwen is continuously developing the models: after ...

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for ...

Andrej Karpathy has argued that human researchers are now the bottleneck in AI, after his open-source autoresearch framework ...

Quantum computing is moving fast, and by 2026, knowing about quantum programming languages will be a big deal. It’s not just ...