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.

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 ...

The company said the model is optimised for “efficient thinking”, delivering stronger responses while using fewer tokens — a key factor in reducing inference costs in production environments.

Capable of reasoning, designed for voice, and fluent in Indian languages, the model would be ready for population-scale deployment ...

Despite having just 3 billion parameters, Ferret-UI Lite matches or surpasses the benchmark performance of models up to 24 times larger.

Have you ever wondered why off-the-shelf large language models (LLMs) sometimes fall short of delivering the precision or context you need for your specific application? Whether you’re working in a ...

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

The new AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...