video1.0<iframe src="https://www.loom.com/embed/44c793c47e7d45eaaf02bac7c168a10d" frameborder="0" width="1440" height="1080" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10801440Loomhttps://www.loom.com10801440https://cdn.loom.com/sessions/thumbnails/44c793c47e7d45eaaf02bac7c168a10d-4c58c90bdfbb77cb.gif77.612In this video, I discuss the importance of fine-tuning larger gauge models to interact effectively with MCPs, which are crucial for intelligent internets. I propose a reinforcement learning framework to help LLMs master MCPs by generating datasets and evaluating use cases. I also highlight the challenges developers face with MSW API calls and the diversity of MCPs. Please take a moment to consider the proposed framework and how it could enhance our projects.