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Finally, someone did the obvious thing!
It's framed for open source models but close source providers should also take notes.

12.8. klo 18.59
How can open-weight Large Language Models be safeguarded against malicious uses?
In our new paper with @AiEleuther, we find that removing harmful data before training can be over 10x more effective at resisting adversarial fine-tuning than defences added after training 🧵

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