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 ...

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 ...

Seed-2.0, the latest version of its Doubao large language model series. The company said the Pro variant is benchmarked ...

Bengaluru-based AI startup Sarvam AI on February 18 announced the launch of two new large language models, a 30-billion-parameter model and a 105-billion-parameter model, both trained from scratch, ...

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 ...

OpenAI today detailed o3, its new flagship large language model for reasoning tasks. The model’s introduction caps off a 12-day product announcement series that started with the launch of a new ...

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.

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

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

Bengaluru's Sarvam AI unveils two advanced language models, 'Vikram,' marking a significant milestone in India's AI development.