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Large Language Models in Production Round-table Conversation

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How HANA Can Help You Make Better Decisions

A lot of, I'd say the first generation of these large language models were under trained. Which means that if you have like a one billiard parameter model, you have to train on X amount of data. But then if you increase the number of parameters, you haveto train on maybe like 10X or 1000X more data for to be Chinchilla optimal. So really, it's not just about the parameter size. It's also about the amount of data that it was trained on.

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