video1.0<iframe src="https://www.loom.com/embed/536cb33b3d7d4af5a32022c5fa0c1604" frameborder="0" width="1668" height="1251" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12511668Loomhttps://www.loom.com12511668https://cdn.loom.com/sessions/thumbnails/536cb33b3d7d4af5a32022c5fa0c1604-095c73c3617097c4.gif237.259In this video, I introduce FlowRL, a framework that leverages reinforcement learning (RL) to enhance large language models using on-chain data. I believe that as commerce increasingly moves on-chain, having a general-purpose RL framework will allow users and protocols to monetize their data effectively. I demonstrate this by showcasing a game called Word Hunt, which I deployed on Flow's testnet, where an AI agent interacts with players to optimize their scores. I encourage viewers to consider the potential of integrating such frameworks into their blockchain projects, as it could lead to significant advancements in AI and user engagement. Let's explore how we can harness this technology together!