LLM for data analytics: text-to-sql 3 architecture patterns

This is the first video in a series exploring how to work with structured data using Large Language Models (LLMs). In this video, I explain the three main architectural patterns for building Text-to-SQL pipelines: 1. Prompt engineering & manual metadata retrieval (BASE) 2. BASE + RAG for metadata retrieval 3. 1 or 2 using the fine-tuned model Stay tuned for more videos in this series on leveraging LLMs for structured data tasks!