Jev์๋ํ

Nathan Wilbanks
@NathanWilbanks_Nathan Wilbanks: ์ ๐คฏ ๋ฐฉ๊ธ Jev + @agnt_gg๋ฅผ ์ฌ์ฉํ์ฌ 1๋ฌ๋ฌ ๋ฏธ๋ง์ ๋น์ฉ์ผ๋ก 3๋ถ ์ด๋ด์ 63,045๊ฐ์ ์ด๋ฉ์ผ์ ๋ถ๋ฅํ์ต๋๋ค. ์ด ์คํ ์๊ฐ: 2๋ถ
Localized reading
์ ๐คฏ ๋ฐฉ๊ธ Jev + @agnt_gg๋ฅผ ์ฌ์ฉํ์ฌ 1๋ฌ๋ฌ ๋ฏธ๋ง์ ๋น์ฉ์ผ๋ก 3๋ถ ์ด๋ด์ 63,045๊ฐ์ ์ด๋ฉ์ผ์ ๋ถ๋ฅํ์ต๋๋ค. ์ด ์คํ ์๊ฐ: 2๋ถ 54์ด ์ ๋ ฅ ํ ํฐ: 23,430,692 ์ถ๋ ฅ ํ ํฐ: 4,528,206 ์ด ํ ํฐ: 27,958,898 ์์ ๋น์ฉ: $0.9841 ์ด๊ฒ์ LLM ๋น์ฉ์ผ๋ก ์๋ฐฑ ๋ฌ๋ฌ $$$์์ ๊ฒ์ ๋๋ค.
Original post / EN
WOW ๐คฏ i just used Jev + @agnt_gg to categorize 63,045 emails in less than 3 minutes for < $1 total runtime: 2 minutes 54 seconds input tokens: 23,430,692 output tokens: 4,528,206 total tokens: 27,958,898 estimated cost: $0.9841 this would have been hundreds $$$ in LLM costs
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