The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

Every prompt your team sends to a language model is a potential data-exfiltration event. According to Cyberhaven's 2026 AI ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Wix-owned vibe-coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Karpathy CLAUDE.md ten rules: a document attributed to Andrej Karpathy began circulating Friday, adding six agent self-check ...

Local LLMs are good enough for many tasks ...

Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.