This blog post discusses the core Key Performance Indicators (KPIs) for evaluating the performance of Large Language Models (LLMs) and provides insights on tracking these metrics effectively. It shares personal experiences from building an MCP server for Toronto’s Open Data portal and emphasizes the importance of relevant datasets in enhancing LLM efficacy.