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by cadamsdotcom
1 hour ago
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Transformers scale poorly vs. context window size and parameter count. Which means really impressive when those N’s are small! I’m but a pundit in this area so don’t know much. But one wonders if there’s a future in burning larger models to FPGAs - whether big enough FPGAs exist (or can be built), and whether locating specialized compute right with the memory it needs can speed things up. Likely would need a lot of algorithm parallelism work that’d translate back to CPUs/GPUs. |
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