The general idea was that a model should be able to take in a natural language query as an initial input, reason over existing data systems, and generate corresponding SQL code in traditional business intelligence (BI) fashion to pull the right data and answer the initial question accordingly.
这一描述揭示了早期数据代理的简化假设：将问题简化为自然语言到SQL的转换。这挑战了仅通过改进模型性能就能解决所有数据推理问题的乐观预期，强调了业务语义理解的重要性。