이번 장에서는 언어 모델의 핵심 구성 요소인 어휘를 자세히 살펴봤습니다. 언어 모델에서 어휘
가 어떻게 정의되고 만들어지는지부터 시작해 토큰화라는 개념과 함께
BPE
와 워드피스 같은
토큰화 알고리즘을 알아봤습니다. 이 알고리즘들은 어휘를 구성하고 원본 텍스트를 언어 모델
이 이해할 수 있는 토큰 시퀀스로 변환하는 역할을 합니다. 실제 언어 모델들의 어휘를 살펴보
면서 토큰이 우리가 일반적으로 생각하는 단어와 무엇이 다른지도 확인했습니다. 다음 장에서
는 언어 모델의 다른 요소들, 특히 모델 아키텍처와 학습 목표에 관해 계속 알아보겠습니다.
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