Large language models fail at hard and medium difficulty problems where they can’t stitch together well-known templates. You ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

A consequence of the traits of Linux documentation, such as containing actual information, being written by the developers, being honest about the software's flaws, a less formal style, and the ...

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal ...

Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow.

Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with ...

Creating your own plug-ins for NVIDIA's impressive GeForce RTX-powered Project G-Assist AI assistant is easy; here's how it's ...

An experienced Mac developer had a complex app created almost entirely by Claude Code. He now reports on his experiences with ...

There is a critical security vulnerability in Anthropic's MCP Inspector, a debugging tool for MCP servers. It allows ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

For security, AI can assist with surveillance, threat detection, and misinformation tracking. Generative AI is rapidly ...

With zenon 15, COPA-DATA expands its support for HTML5-based web visualization, enabling fast and intuitive screens that work ...