TLDRocket
Sign in

Weights & Biases LLM-Evaluator Hackathon - Hackathon Judge

Eugene Yan

Weights & Biases hosted an LLM-Evaluator Hackathon where over 100 participants across 15 teams built projects for evaluating large language models over two days. Teams completed projects including knowledge graph validation, MBTI trait evaluation, prompt optimization, and multi-turn conversation assessment in roughly 36 hours of work. The winning team received Meta Ray-Bans and participants demonstrated practical applications of LLM evaluation frameworks.

Why it matters

Being a human judge at the Weights & Biases LLM-as-a-Judge Hackathon

Related stories

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Free, no spam, unsubscribe anytime.