Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.

Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...

By Priyanjana Pramanik, MSc. Despite near-perfect exam scores, large language models falter when real people rely on them for ...

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

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 ...

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

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

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 ...