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by usgroup 784 days ago
A consequence of being an auto regressive model is not being able to plan token output. I think the author’s example is one of the many corollaries.

You could prompt the LLM differently , for example to write a Python program that does the random part, and then act on its output.

1 comments

> A consequence of being an auto regressive model is not being able to plan token output.

Generating independent simple random variables requires zero planning by definition, because they are independent. And base auto-regressive models do it fine.