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Ep18. Jensen Recap - Competitive Moat, X.AI, Smart Assistant | BG2 w/ Bill Gurley & Brad Gerstner
BG2Pod with Brad Gerstner and Bill Gurley
Train Big, Inference Smart
Training larger models requires bigger clusters, but for model inference, distributed systems suffice, allowing for smaller cluster sizes. As deployment scales, larger clusters will likely be reserved for extensive training runs, while inference will operate more efficiently via distribution. The analogy of human learning versus doing illustrates the potential benefits of this model, highlighting that much of the existing data is inadequate, but technology advancements can improve inference outcomes.
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