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I’m interested in use cases to improve QlikSense apps using ChatGPT or any other LLM (Large Language Model).
In fact, I'm particularly attracted to the idea of using an in-house solution. Like a Open Source model with RAG and/or fine-tuning
Here you have a brief list of use cases:
Could you give me more uses cases? I’m also interested in what connectors, extensions or any QlikSense related technology would you use for these use cases. Also, any advice or examples would be greatly appreciated
Thanks in advance
What about using an LLM to help with coding in Qlik - expressions & data load, for devs. The generic ones like Claude tend to produce invalid syntax and aren't that useful, it's like they don't really understand Qlik at all and have it muddled with other languages.
@richardwilde I have found GitHub CoPilot (with the default Raptor Mini as the LLM) running in Visual Studio Code to be surprisingly useful. The screen shot below shows my setup, with the Qlik VS Code extension by Xavier Hahn providing the syntax highlighting. Line 14 is a "ghost code" suggestion automatically generated by the Raptor Mini LLM. Raptor somehow correctly intuited that dropping the AppsInAppsTable is desirable, since it is a temporary table for the sole purpose of creating a list of distinct AppIds to use in the WHERE not Exists. (There are several keyboard shortcuts for rejecting or accepting (all or part) of the “ghost code” suggestions, see this link.)