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What alternative formulation do you propose? In the article, a "LLM knows" if it is able to answer correctly in the right circumstances. The article suggests t
by GuB-42 2y ago
What alternative formulation do you propose?
In the article, a "LLM knows" if it is able to answer correctly in the right circumstances. The article suggests that even if a LLM answers incorrectly the first time, trying again may result in a correct answer, and then proposes a way to pick the right one.
I know some people don't like applying anthropomorphic terms to LLMs, but you still have to give stuff names. I mean, when you say you kill a process, you don't imply a process is a life form. It is just a simple way of saying that you halt the execution of a process and deallocate its resources in a way that can't be overridden. The analogy works, everyone working in the field understands, where is the problem?
- youoy 2y agoI prefer a formulation closer to the mathematical representation. With "kill", there is not a lot of space for interpretation, that is why it works. Take for example the name "Convolutional Neural Networks". Do you prefer that, or let's say "Vision Neural Networks"? I prefer the first one because it is closer to the mathematical representation. And it does not force you to think that it can only be used for "Vision", which would be biasing the understanding of the model.