ART

Train LLMs to be better agents using RL

Skills

• Openpipe
  Use when training LLM-based agents to improve performance through reinforcement learning. Reach for this skill when building agents that need to learn from experience, optimize tool usage, handle multi-step reasoning, or fix specific behavioral issues. Apply ART when you have a task that agents can attempt repeatedly, can be scored objectively or with an LLM judge, and where smaller models should outperform larger ones.

How to call

https://art.openpipe.ai/