LLMs and SQL

The text discusses how Language Models (LLMs) can be used to interact with SQL databases through natural language. It highlights three main problems that arise when using LLMs for this purpose: hallucination, context window length limitations, and occasional errors in the generated SQL code. To address these issues, the author suggests several solutions inspired by how data analysts approach similar tasks. These include describing the database schema and sample rows, using custom table information, constraining output size, and checking syntax. The text also mentions future work to improve LLM-SQL interaction, such as incorporating few-shot examples and encouraging the use of subqueries.