Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

In this fast-paced digital world, DevOps teams are operating in complex, high-velocity enterprise environments. Distributed development teams, microservices architectures, and always-on CI/CD ...

A developer’s routine cleanup task reportedly turned into a disaster after a small mistake in AI-generated code wiped an entire drive. The incident, first described in a Reddit post, involved code ...

Springfield has adopted the 2024 International Fire Code, bringing new fire and life safety standards to the city. The City Council approved the updated code Jan. 12 after a review led by the ...

Bob van Luijt, Co-Founder and CEO of Weaviate—which he launched as an open-source vector search engine in March 2019—shared ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

Codex can exploit vulnerable crypto smart contracts 72% of the time, raising urgent questions about AI-powered cyber offense and defense.

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Everything changes with time. Some changes happen so rapidly — like 7 frames or more per second — that we perceive them as ...