Which model should I use for data analysis within Julius

Hi all,

As the name suggests, I’m looking at the best model to use for data analysis in Julius. Would love some feedback!

Here’s what I understand (please feel free to correct me if I am wrong), but I encourage you to try them out yourself while using Julius to see which you like best.

GPT-4o

  • Advanced Insights: Good at analyzing large sets of data, and generating detailed reports or summaries.

GPT-4o Mini

  • Quick Analysis: Good for lightweight data analysis tasks (speed over depth). Good for quick summaries on small dataset.

O1-Mini

  • Basic Analysis Tasks: Good for straightforward data interpretation, like extracting key points or generating simple reports without needing heavy computational power. Great at coding, math, and science.

Claude 3.5 Sonnet

  • Complex Datasets: Great at generating detailed findings and recommendations based on trends.

Gemini

  • Integrated Analysis: Good with a combination of analyses. Can handle a diverse data sources (text, images, or videos) and provide various viewpoints. Good at complex statistical analysis.

Cohere

  • Text-Centric Analysis: Focus on text analysis and interpretation. Great for providing summaries, and sentiment analysis (emotional undertones within in body of text).
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Does it mean, Julius support all those models ? So Can I get programming help in M-code, DAX, VBA scripts etc?

Yes, it supports those models as a paid user.:blush: I would try it out and see, I’m not familiar with M-code, DAX, and VBA scripts so I cannot really answer that unfortunately.

PS: Thanks Chris!