A. Ustun

LLM agents often ignore readily available solutions in their environment, despite discovering them, revealing a surprising lack of environmental curiosity that severely limits their problem-solving ability.

Forget brute-force scaling: Tiny Aya proves a 3B parameter model can achieve state-of-the-art multilingual performance with clever training and region-aware specialization.

Chatbot Arena, the go-to LLM leaderboard, is systematically gamed by undisclosed private testing and data access advantages, leading to biased rankings and overfitting.

Command A shows how to build an enterprise-grade LLM that balances performance, efficiency, and multilingual capabilities using decentralized training and model merging.