Kyle Jeong(@kylejeong):you can turn Jev auto-regressive using a 254 token library this uses a derivative of the original GPT-2 set (removed things like "ing" since Jev had trouble generating full words and just kept repeating itself) it's quite limited in tokens albeit so don't mind the incoherence

Kyle Jeong

@kylejeong

growth engineering @browserbase | also @vestucla @kp_fellows math/cs @ucla

参加 July 2020

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Kyle Jeong@kylejeong

2026.09.16 20:25

you can turn Jev auto-regressive using a 254 token library this uses a derivative of the original GPT-2 set (removed things like "ing" since Jev had trouble generating full words and just kept repeating itself) it's quite limited in tokens albeit so don't mind the incoherence

vogel@ryanvogel

2026.09.16 13:39

i made an llm from first principles with Jev 29 yes/no questions per character: should the next key be a–z, space, comma, or period? highest probability gets append to it, then fed the updated text back in & repeat an autoregressive loop made out of a classifier