When it comes to large language models, one of the first things you may read about is the enormous size of the model data or the number of parameters. But is "bigger" always better? In this video, Kip Yego, Program Marketing Manager explains that the truthful answer is "It depends". So what are the factors that will drive this decision? Kip breaks them down and explains one-by-one how to decide.
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