Charm AI

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@logan-markewich I've shared all the code. What else would you like me to do?

@logan-markewich I have a CSV file containing financial information for several companies in Colombia. When I queried for the top 5 revenue-generating companies, the results included global giants like Google,...

> CSV data is pretty tricky. Vector retrieval/top-k is probably not what you want, unless each row represents a document > > Probably you would be more interested in text-2-sql...

@logan-markewich Could you please review this? Your answer is very helpful to me. Thank you again. Regards.

I just solved the problem. It's my solution. Currently, It's storing the dataset to jsonl data. ``` def jsonl_generation(self): """ Generate JSONL file for fine-tuning events and perform model refinement....

I tried with 2.91 but same.

> I have a feeling this is my bad.. Could you explain more detail?

@iennae Thank you for your interest in my problem. Please check this. https://cloud.google.com/video-intelligence/docs/streaming/label-analytic I would like to implement similar functionality in my project.