Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...

Researchers debut "Humanity’s Last Exam," a benchmark of 2,500 expert-level questions that current AI models are failing.

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...

MLCommons today released AILuminate, a new benchmark test for evaluating the safety of large language models. Launched in 2020, MLCommons is an industry consortium backed by several dozen tech firms.

MLCommons recently launched AILuminate, the first safety test specifically designed for LLMs. The v1.0 benchmark generates safety grades for widely adopted LLMs and represents a collaborative effort ...

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 ...

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

February brought new coding models, and vision-language models impress with OCR. Open Responses aims to establish itself as a ...