The benefit of using LLMs is that a lot of the initial context gathering can be done in an automated way. An emphasis of focus should be on high signal context – for example, looking through past query history can be high signal in determining the most referenced tables and most common joins, and data modeling solutions like dbt or LookML can provide clear definitions for business metrics.
这一观点揭示了LLM在上下文构建中的独特价值：自动化高信号上下文的收集。这暗示了未来数据代理的发展可能需要结合LLM的自动化能力与人类的判断力，形成人机协作的上下文构建模式。