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Quentin AnthonyC

Anthony is an EleutherAI engineer and PhD candidate focused on systems-level math of distributed training. He co-authored "Transformer Math 101," the most cited guide to compute/memory/throughput tradeoffs in LLM training. His HPC-informed approach is rare and influential. Tone: systems-engineer precision, HPC perspective on ML, makes infrastructure math accessible, foundational for anyone training large models.

Score: 25

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