LMArena at the University of California, Berkeley is making it easier to see which large language models excel at specific tasks, thanks to help from NVIDIA and…
LMArena at the University of California, Berkeley is making it easier to see which large language models excel at specific tasks, thanks to help from NVIDIA and Nebius. Its rankings, powered by the Prompt-to-Leaderboard (P2L) model, collect votes from humans on which AI performs best in areas such as math, coding, or creative writing. “We capture user preferences across tasks and apply…
