Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.
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 ...
The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.
Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...
People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.
Spectacles included live coding app creation on stage, and AI-driven image generation in response to the live movement of dance ...
According to GitHub, the PR was marked as a first-time contribution and closed by a Matplotlib maintainer within hours, as ...
After a two-year search for flaws in AI infrastructure, two Wiz researchers advise security pros to worry less about prompt ...
Americans are living in parallel AI universes. For much of the country, AI has come to mean ChatGPT, Google’s AI overviews, ...
The headlines are scary, reporting one round of mass layoffs after another from companies including Amazon, Microsoft, HP, General Motors, and UPS ...
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.
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