Elevate LLM Performance by 20% Instantly with Min-P
Never 10 Lines of Code Gave so Much
Every once in a while, a piece of research automatically becomes a standard. A new sampling method for LLMs has recently been released, and it’s certainly one of these cases.
Soon, all LLMs will adopt it.
Dubbed Min-p sampling, it instantly improves LLM accuracy by 10/20% with just a few lines of code in error-prone tasks like maths or facts question answering. Importantly, it doesn’t seem to have discernable disadvantages compared to the status quo.
But how is such a simple change so unreasonably effective?
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Understanding how LLMs work
To understand how important this is, we need to understand how LLMs work. But not how everyone tells you they work.
