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by thesz 244 days ago
Can it be that transformer-based solutions come from the well-funded organizations that can spend vast amount of money on training expensive (O(n^3)) models?

Are there any papers that compare predictive power against compute needed?

1 comments

You're onto something. BabyLM competition had caps. Many LLM's were using 1TB training data for some time.

In many cases, I can't even see how many GPU hours or what size cluster of what GPU's the pretraining required. If I can't afford it, then it doesn't matter what it achieved. What I can afford is what I have to choose from.