In the chat-bot and generative AI industry, there is strong demand for Text-to-SQL tool that can take user input questions, create SQL queries, and return results of those queries back to the user. Successfully creating a training dataset then comparing and choosing the right LLM to put into production can be difficult. This session demonstrates how to successfully curate a Text-to-SQL training dataset and compare, evaluate, and fine-tune various Generative AI LLMs to ensure the highest accuracy and customer satisfaction.