Data Analysis with Llama 3: Smart, Fast AND Private

[@emko6892]

Really awesome. Love the real business applications. This is exactly what I have been looking for.

[@mikew2883]

Awesome tutorials and tutorial layouts. 👍

[@rabbitmetrics]

Thank you!

[@user-ui9rx6ni3n]

Perfect, thank you very much. Do you have a plan to chain the output to plot 😅

[@Aristocle]

you can use the result of this chain as a dataset for fine-tuning a model.

[@rabbitmetrics]

Yes, I'm working on that. The problem is that SQL queries can be erroneous and still be executed.

[@faysoufox]

Nice tutorial thanks. Just as a note, the link in the description is not clickable.

[@rabbitmetrics]

Thanks! It is clickable now

[@ajarivas72]

@@rabbitmetrics Thanks

[@tylergermain]

great video - btw, I can't download the "schema.py" file from the written tutorial

[@rabbitmetrics]

Thanks! I've updated the written tutorial and the Colab notebook with the schema extraction functions

[@LakshayPawar-p3x]

can you please tell if i can do the same in vs code?

[@CloudGoogle-m5h]

what is code in .env dan gbqkey.json?

[@ClimateDS]

Content is great, but the title is very misleading. Better: self-correcting SQL-query request generator. And the specific model is less important given the self-correcting feature, which could have been more promoted instead of jumping on the llama3 hype train. Just some food for thought

[@michelvandermeiren8661]

Another video that shows how disappointing AI is. I can easily write those simple queries myself

[@flv-hd7nn]

a year ago it couldn't do that. Give it time and baby will grow.

[@jugurtha292]

you missed the entire point of this.