As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Scientists warn that current AI tests reward polite responses rather than real moral reasoning in large language models.

In updated tests published to the Humanity's Last Exam website, Gemini's 3.1 Pro model achieved 45.9 percent accuracy, with a ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

Every AI model release inevitably includes charts touting how it outperformed its competitors in this benchmark test or that evaluation matrix. However, these benchmarks often test for general ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

Small Language Models or SLMs are on their way toward being on your smartphones and other local devices, be aware of what's coming. In today’s column, I take a close look at the rising availability ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Sarvam AI Co-founder Pratyush Kumar says the company has trained 30-billion-parameter and 105-billion-parameter models from ...