์ด ๊ณผ์ ์ Transformer ์ํคํ ์ฒ์ BERT(Bidirectional Encoder Representations from Transformers) ๋ชจ๋ธ์ ์๊ฐํฉ๋๋ค. ์ ํ ์ดํ ์ ๋ฉ์ปค๋์ฆ ๊ฐ์ Transformer ์ํคํ ์ฒ์ ์ฃผ์ ๊ตฌ์ฑ์์์ ์ด ์ํคํ ์ฒ๊ฐ BERT ๋ชจ๋ธ ๋น๋์ ์ฌ์ฉ๋๋ ๋ฐฉ์์ ๊ดํด ์์๋ด ๋๋ค. ๋ํ ํ ์คํธ ๋ถ๋ฅ, ์ง๋ฌธ ๋ต๋ณ, ์์ฐ์ด ์ถ๋ก ๊ณผ ๊ฐ์ด BERT๋ฅผ ํ์ฉํ ์ ์๋ ๋ค์ํ ์์ ์ ๋ํด์๋ ์์๋ด ๋๋ค. ์ด ๊ณผ์ ์ ์๋ฃํ๋ ๋ฐ ๋๋ต 45๋ถ์ด ์์๋ฉ๋๋ค.

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What you'll learn
Transformer ์ํคํ ์ฒ์ ์ฃผ์ ๊ตฌ์ฑ์์๋ฅผ ์ดํดํฉ๋๋ค
Transformer๋ฅผ ์ฌ์ฉํ BERT ๋ชจ๋ธ ๋น๋ ๋ฐฉ์์ ์์๋ด ๋๋ค
BERT๋ฅผ ์ฌ์ฉํ์ฌ ๋ค์ํ ์์ฐ์ด ์ฒ๋ฆฌ(NLP) ์์ ์ ํด๊ฒฐํฉ๋๋ค
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์ด ๋ชจ๋์์๋ ์ ํ ์ดํ ์ ๋ฉ์ปค๋์ฆ ๊ฐ์ Transformer ์ํคํ ์ฒ์ ์ฃผ์ ๊ตฌ์ฑ์์์ ์ด ์ํคํ ์ฒ๊ฐ BERT ๋ชจ๋ธ ๋น๋์ ์ฌ์ฉ๋๋ ๋ฐฉ์์ ๋ํด ์์๋ด ๋๋ค. ๋ํ ํ ์คํธ ๋ถ๋ฅ, ์ง๋ฌธ ๋ต๋ณ, ์์ฐ์ด ์ถ๋ก ๊ณผ ๊ฐ์ด BERT๋ฅผ ํ์ฉํ ์ ์๋ ๋ค์ํ ์์ ์ ๋ํด์๋ ์์๋ด ๋๋ค.
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