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GPT4o also has RLHF tuning on top of it though. For raw LLMs getting kind of tripped up by being something like interpolative n-gram estimators this is some re
by cma 2y ago
GPT4o also has RLHF tuning on top of it though.
For raw LLMs getting kind of tripped up by being something like interpolative n-gram estimators this is some recent work that does put them closer to markov chains in some ways, especially early on in training but not fully https://arxiv.org/abs/2407.12034 https://arxiv.org/abs/2407.12034
"In this latter direction, we find that for 79% and 68% of LLM next-token distributions on TinyStories and Wikipedia, respectively, their top-1 predictions agree with those provided by our N-gram rulesets."
- semking 2y agoInteresting paper and they also claim to have discovered a "simple method to detect overfitting during training without using a holdout set"