Building a powerful information management system using ChatGPT's code generation and summarization capabilities.
Introduction Since ChatGPT captured the public imagination in early 2023, there has been an explosion of interest in commercializing large language model-based applications. One of the most interesting applications has been the creation of expert chat systems that can answer natural language queries from a database of proprietary knowledge base.
create Notice the following prompt engineering 1) we give the database schema but keep it simple. 2) We specify the return columns. 3) We specify the columns that are available for filtering. 4) We specify the SQL flavor. This prompt should generate SQL code like the one below: SELECT * FROM article WHERE date BETWEEN '2022-06-01' AND '2022-08-31' Now, because the return value is not deterministic, sometimes you will end up with idiosyncrasies in your generated code.
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