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This article describes the dbt-llm-evals project, which aims to provide a framework for evaluating large language models (LLMs) using dbt, a popular data transformation tool. The project focuses on enabling the use of LLMs in data analysis and engineering tasks, and provides a set of tests and metrics to assess the performance of LLMs in these contexts.