Unlocking the facility of enormous language fashions
10 hours in the past
On this article, I’ll look at how giant 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 creating LLM-based options. Weāll additionally cowl numerous use instances and show the method by making a easy Slack utility. Constructing an AI-driven database querying system entails a number of essential issues, together with sustaining safety, making certain information relevance, managing errors, and correctly coaching the AI. On this story, I explored the quickest option to deal with these challenges and shared some suggestions for establishing a stable and environment friendly text-to-SQL question system.
Recently, itās onerous to think about any expertise extra impactful and broadly mentioned than giant language fashions. LLM-based functions are actually the newest development, very similar to the surge of Apple or Android apps that after flooded the market. It’s used all over the place in BI house and I beforehand wrote about it right here [1]
