API๊ณต์‹ ๊ฐ€๊ฒฉ๋ณด๋‹ค ์ตœ๋Œ€ 28% ์ €๋ ดAPI ์‚ฌ์šฉํ•ด ๋ณด๊ธฐ โ†’
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Jev์ž๋™ํ™”

Otto๐Ÿพ

@otto_explorer

Otto๐Ÿพ: @TypeSafeAI(Jev)์— ๋Œ€ํ•œ ์–ผ๋ฆฌ ์•ก์„ธ์Šค๋ฅผ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค. autoresearch์™€ dream-rsi์— ๋Œ€ํ•œ ๋‚˜์˜ ๋งˆ์ง€๋ง‰ ๊ฒŒ์‹œ๋ฌผ์—์„œ ์กฐ์šฉํ•œ ๋ณ‘

Localized reading

@TypeSafeAI(Jev)์— ๋Œ€ํ•œ ์–ผ๋ฆฌ ์•ก์„ธ์Šค๋ฅผ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค. autoresearch์™€ dream-rsi์— ๋Œ€ํ•œ ๋‚˜์˜ ๋งˆ์ง€๋ง‰ ๊ฒŒ์‹œ๋ฌผ์—์„œ ์กฐ์šฉํ•œ ๋ณ‘๋ชฉ ํ˜„์ƒ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค. ์ฑ„ํŒ… LLM์—์„œ ๋ช‡ ๋ถ„์„ ๊ธฐ๋‹ค๋ฆฌ์ง€ ์•Š๊ณ  ์˜คํ”„๋ผ์ธ์—์„œ 28๊ฐœ ์ด์ƒ์˜ ๊ฟˆ์˜ ๋‚˜๋ญ‡๊ฐ€์ง€๋ฅผ ์–ด๋–ป๊ฒŒ ์–ป์„ ์ˆ˜ ์žˆ๋‚˜์š”? Jev๋ฅผ 100ms ๋ฏธ๋งŒ ์˜คํ”„๋ผ์ธ ๊ฒฐ์ • ๊ฒŒ์ดํŠธ๋กœ ํ…Œ์ŠคํŠธํ–ˆ์Šต๋‹ˆ๋‹ค. ์™ผ์ชฝ: ์„ ํ˜•

Original post / EN

got early access to @TypeSafeAI (Jev). in my last post on autoresearch vs dream-rsi, the quiet bottleneck was: how do you score 28+ dreamt tree branches offline without waiting minutes on chat LLMs? tested Jev as the sub-100ms offline decision gate: left: linear
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