Uber has introduced QueryGPT, a tool that leverages generative AI to translate natural language prompts into SQL queries, streamlining data analysis processes. With LLM’s, QueryGPT reduces query authoring time from approximately 10 minutes to 3 minutes. It is cool and impressive, what I found interesting are some restrictions and assumptions:
– “We introduced \u201cworkspaces,\u201d which are curated collections of SQL samples and tables tailored to specific business domains”
– “Another issue we found was that it\u2019s incredibly challenging to go from a user\u2019s natural language prompt to finding the relevant schemas”
– “Allowing users to select the tables used in the query generation came up as feedback from some users who saw that the tables that were eventually picked by QueryGPT were not correct “
– “We\u2019ve been experimenting with prompts to reduce hallucinations”
So, we still need to understand the problem space and come up with solutions tailored to our business, let alone don’t forget it will always hallucinate at some point.<\/p>\n\n\n\n
QueryGPT – Natural Language to SQL using Generative AI<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Uber has introduced QueryGPT, a tool that leverages generative AI to translate natural language prompts into SQL queries, streamlining data analysis processes. With LLM’s, QueryGPT reduces query authoring time from approximately 10 minutes to 3 minutes. It is cool and impressive, … Continue reading