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On this article, I’ll study how massive language fashions (LLMs) can convert pure language into SQL, making question writing extra accessible to non-technical customers. The dialogue will embrace sensible examples that showcase the convenience of growing LLM-based options. Weāll additionally cowl varied use instances and reveal the method by making a easy Slack utility. Constructing an AI-driven database querying system entails a number of important concerns, together with sustaining safety, making certain knowledge relevance, managing errors, and correctly coaching the AI. On this story, I explored the quickest approach to deal with these challenges and shared some suggestions for organising a stable and environment friendly text-to-SQL question system.
These days, itās onerous to consider any know-how extra impactful and broadly mentioned than massive language fashions. LLM-based functions are actually the newest pattern, very similar to the surge of Apple or Android apps that when flooded the market. It’s used all over the place in BI area and I beforehand wrote about it right here [1]
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Mike Shakhomirov
2024-08-18 14:03:10
Source hyperlink:https://towardsdatascience.com/the-evolution-of-sql-8d017ce566ff?source=rss—-7f60cf5620c9—4