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.

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, ...

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 ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

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

Sarvam AI Co-founder Pratyush Kumar says the company has trained 30-billion-parameter and 105-billion-parameter models from ...

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.

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...