AIOps 101: The 3 Pillars of Reliably Deploying AI Models (Sponsored)
In the lab, your AI model might seem perfect, but the real world is often where it breaks.
Future News, Today
In the lab, your AI model might seem perfect, but the real world is often where it breaks.
The Pentagon is discussing plans to set up secure environments for generative AI companies to train military-specific versions of their models on classified data, MIT Technology Review has learned. AI…
The transition from a raw dataset to a fine-tuned Large Language Model (LLM) traditionally involves significant infrastructure overhead, including CUDA environment management and high VRAM requirements. Unsloth AI, known for…
It’s the latest salvo in an escalating battle between state regulators and an industry that claims it’s not beholden to them.
Mistral Forge lets enterprises train custom AI models from scratch on their own data, challenging rivals that rely on fine-tuning and retrieval-based approaches.
Thousands of people are trying Garry Tan’s Claude Code setup, which was shared on Github. And everyone has an opinion: even Claude, ChatGPT, and Gemini.
Apple’s first-ever “background security improvement” fixes a vulnerability in its Safari browser running its latest software.
Kagi’s “Small Web” offers a handpicked collection of more than 30,000 non-commercial, human-authored websites, including personal blogs, webcomics, and independent videos.
After their dramatic falling-out, it doesn’t seem as though Anthropic and the Pentagon are getting back together.
BuzzFeed unveiled new AI-powered social apps at SXSW, but its demos drew muted reactions.