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Ask HN: How do companies make their AIs "woke"?
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1 points
by litetime
847 days ago
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It's a common quip to say that LLMs are black boxes and that we have no idea how they "think". Of course that was always an exaggeration, but there is some truth to in that answers are generated from billions of miniscule connections between entities that are nearly impossible to reason about. How exactly then are they able to turn up and down the woke slider for their models? It seems impossible to tune them manually for a near infinite variety of use cases. But I could be wrong. Anyone have an intuitive explanation of how they get it done? Edit: I wasn't trying to use the word "woke" to make any sort of political statement, although I see now how maybe it wasn't the best choice of words. The impetus for this post is the recent controversy around Google's Gemini being, uhhh, "overly tuned?". |
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https://aws.amazon.com/what-is/reinforcement-learning-from-h...