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

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.

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

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

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

11. Open Platform for Enterprise AI (OPEA) OPEA is a framework that can be used to provide a variety of common generative AI ...

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

Google has introduced Gemini CLI, a command-line interface (CLI) that serves as an open source agent for interacting with its ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

LSE statistics student Haitao Tao’s journey into AI has been a fruitful one. His best project yet? A time management app to support people with ADHD.

As it turns out, his pre-AI website isn't new, but it has languished unannounced until now. "I created it back in March 2023 ...

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