Zaharia: 6B parameter models can achieve instruction following with 50x less data
Matei Zaharia · No Priors Ep. 11 | With Matei Zaharia, CTO of Databricks · Apr 25, 2023 · at 9:21
Matei Zaharia, CTO of Databricks, discusses why smaller open-source language models can successfully follow instructions without requiring massive parameter counts or reinforcement learning.
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“We just had a larger data set of, you know, human-like conversations, and we had this you know, very kind of modest size open source model that's only six billion parameters, only trained on less than one terabyte of text. So like, 50 times less data than GPD three, and it still has this behavior. It's I think it's been pretty surprising to a lot of you know, researchers, the size of model that's still Gets you this kind of instruction following ability.”
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