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As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learningtheory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path.
Through these research directions, we aim to develop robust safety techniques that mitigate risks from AIs before those risks emerge in real-world deployments. Jailbreaks and unintentional misalignment : New techniques for finding inputs that elicit competent, goal-directed behavior in LLM agents that the developers clearly tried to prevent.
And for that, I think you need something like derandomization techniques, where the simplest example of this is that if you have a collection of random vectors in high dimensions, theyre almost always almost orthogonal. But maybe zooming out, the relevant comparison point here I think is not the number of parameters in the model.
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