Human Text Query for Sport Data using LLMs
This thesis explores the use of Large Language Models (LLMs) to convert natural language questions into SQL (Structured Query Language) queries within the field of sports analytics, with a focus on a real-world use case for Spiideo, a provider of cloud-based video analysis tools. The study compares different system designs, including single-agent and multi-agent setups, various prompting strategie
