Tools mentioned by Matt Gialich
Software and services Matt Gialich has mentioned across podcast appearances.
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Bittensor
“Templar's BitTensor Subnet 3 trained a 72-billion-parameter model — comparable to Llama 2 in capability — for approximately $2–3M by distributing gradient computation across competing miners worldwide.”