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There are lots of really low hanging fruits

- integrating this with AI platform X/Y/Z

- setting up evals

- improving the code quality

- making a how to guide (it’s stuck on my todo list)

- helping with dataset

- doing silly experiments on how the architecture work (and if the changes give good result)

- etc etc

One of the community goals is to make this a model for EVERYONE on earth that means we need quality dataset for all the non English languages

So even on that level there are things to do

( find something that interest you on the community )



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