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The idea would be that another group could fork it and continue adding to the dataset on their own. As opposed to not being able to fork it at all because an "
by wlesieutre 3y ago
The idea would be that another group could fork it and continue adding to the dataset on their own.
As opposed to not being able to fork it at all because an "open source" model actually just means "you are allowed to use this particular release of our mystery box."
- jncfhnb 3y agoYou do not need the original dataset to train the model on an additional dataset Maybe I misunderstood your original question. To be clear, the process of modifying a trained model does not require the presence of the original data. You said “deleted” which perhaps I misinterpreted. You’re not “instantiating a new model from scratch” when you modify it. You’re continuing to train it where it left off.
- wlesieutre 3y agoWhat if you want to start with a subset of the original data? Like you've trained a model, and then later said "You know, this new data we're adding is great, but maybe pulling all those comments from 4chan earlier was a mistake," wouldn't that require starting fresh with access to the actual data?
- jncfhnb 3y agoTechnically correct but not a very realistic request / approach. The general idea is to get as good of a mastery of language as possible, generally, and then fine tune to specialize on tasks