The National Institute of Standards and Technology has issued new guidance aimed at strengthening the statistical validity of ...

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

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 ...

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

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 ...

AI companies regularly tout their models' performance on benchmark tests as a sign of technological and intellectual superiority. But those results, widely used in marketing, may not be meaningful.… A ...

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.

A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...

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 ...

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...