Zero Shot Text to SQL

Zero-shot text-to-SQL aims to automatically translate natural language questions into SQL queries without requiring any model training on the target database. Current research focuses on improving the scalability and accuracy of large language models (LLMs) for this task, often employing techniques like schema routing to handle complex databases and carefully designed prompts to enhance performance. These advancements are significant because they enable non-experts to easily query databases, potentially revolutionizing data access and analysis across various fields. The development of more efficient and robust zero-shot methods is a key area of ongoing investigation.