ARIA, how we built autoresearch with autoresearch

Official Schedule Context

ARIA is an end-to-end auto research and AI research product that improves models, launches training

jobs, and agents alike. We used ARIA along with a sophisticated evaluation framework we're calling

the WBAF, Weights and Biases Agent Factory, to build itself. ARIA reads its own production traces,

improves its own prompts, tools, skills, and other effects to solve customer challenges. In this

talk, we dive into the evaluation framework, how we built a sophisticated reinforcement learning

style environment over the Weights & Biases product, and how we scaled from zero to one to a full

team working in parallel on improving an agent.

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