I am trying to introduce Julius as a tool for doing simple data preparation and analysis to non-technical people.
However I have concerns over the consistency of the analysis. For eg. If I have datasets of 5 different brands of shoes, each with the same schema and I want to do sentiment analysis on the reviews of these brands using ensemble techniques with NLP models. Telling Julius a prompt like “Do sentiment analysis of these 5 datasets using ensemble techniques with NLP model” will result in 3-5 different models being selected for use. This is fine since all brands will be processed using the same sets of models.
But in the future, if I want to include a 6th brand for analysis and runs the same prompt again, it may result in different models being used and thus giving different results.
I am wondering if it would be a better approach to use Julius to generate the Python code for my initial run and save it so that I can run the code separately in a different environment for consistency sake