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It's trained using GPT-NeoX right. So does it follow the same model architecture? or you guys have implemented custom model architecture? I don't the get the idea of what GPT-NeoX has been used for here. Is it used to trained on large scale just with custom datasets? or am I missing anything?
The text was updated successfully, but these errors were encountered:
It's trained using GPT-NeoX right. So does it follow the same model architecture? or you guys have implemented custom model architecture? I don't the get the idea of what GPT-NeoX has been used for here. Is it used to trained on large scale just with custom datasets? or am I missing anything?
The text was updated successfully, but these errors were encountered: