#LanguageModels

The vast majority of AI development is concentrated in a handful of languages, leaving a significant capabilities gap for much of the world. NVIDIA is addressing this imbalance with a new suite of open-source models and tools designed to expand high-quality speech AI, with an initial focus on 25 European languages. This initiative moves beyond simply releasing models; it provides the foundational components for building localized, multilingual AI applications. The goal is to empower developers to create robust tools like multilingual chatbots, real-time translation services, and intelligent customer service bots for languages often overlooked by mainstream tech, including Croatian, Estonian, and Maltese. ...

A new study from the University of Geneva and the University of Bern has shown that modern language models—including ChatGPT-4, Claude 3.5, and Gemini 1.5 Flash—outperform humans in emotional intelligence tests. The average score for AI was 82% correct answers, while the average for humans was just 56%. What’s more, ChatGPT-4 didn’t just pass the test; it generated an entirely new one from scratch. This AI-created test was subsequently validated with over 400 participants and proven to be as high in quality as assessments developed by human experts over many years. ...