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What does this even mean. There is strong evidence of LLMs doing in context learning.

Some of the linear RNN layers in recent models are provably doing SGD in hidden space during inference

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By in context learning do you mean latent space?

https://transformer-circuits.pub/2021/framework/index.html


> What does this even mean. There is strong evidence of LLMs doing in context learning.

1. Is this learning persistent?

2. Do they verify these new lessons against core principles?

3. Do they and protect themselves/ignore requests if these new lessons contradict those core principles?

Humans do that from the time they're 3 years old (not that well, but they do do it).


Yes. Yes. Yes.

In my experience all those claims are false.

So the next step is to ask for evidence and ideally independent and peer reviewed research.


You know they can take notes, right?

And ICL dates all the way back to 2020, at least: https://arxiv.org/abs/2005.14165


That's training during training. They can't learn afterwards.

do you have a reference where that claim is demonstrated?



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