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A small language model can be quite like Markov chain, e.g. the one from Karpathy's 2015 post was pretty nonsensical: https://karpathy.github.io/2015/05/21/rnn-
by killerstorm 2y ago
A small language model can be quite like Markov chain, e.g. the one from Karpathy's 2015 post was pretty nonsensical: https://karpathy.github.io/2015/05/21/rnn-effectiveness/ https://karpathy.github.io/2015/05/21/rnn-effectiveness/
So you can just scale down if it still makes sense.
Also you get a lot more from the base model. GPT-3 was versatile as it could continue any context. Modern LLMs are try-hards. If you want to generate humor with LLM really worth going for base model with multiple examples in the prompt.