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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
