I’m building an AI-based operations assistant using an LLM (Groq / LLaMA 3) with function calling. The system is designed to take free-text user input, detect intent, extract arguments, and then call the appropriate backend function (e.g., approve_completion , update_priority , etc.). However, I’m facing a major issue with intent detection reliability . Problem The LLM frequently misclassifies user intent , especially when the input is short,...
Originally asked by Ismail Is on Stack Exchange (stackoverflow) (CC BY-SA 4.0).
