기법을 알아봤습니다. 또한 자신의 데이터에서 임베딩을 파인 튜닝하는 기법도 다뤘습니다. 임
베딩을 구성하는 데이터 세분화 수준을 결정하는 방법을 학습하면서 여러 청킹 기법을 논의했
습니다. 마지막으로 임베딩을 시각화하고 해석하는 기법을 살펴봤습니다.
다음 장에서는 현재 임베딩의 가장 인기 있는 사용 사례인 애플리케이션 패러다임인
RAG
를
탐구할 것입니다. 일반적인
RAG
워크플로에 관련된 단계들을 소개하고 각 단계를 자세히 검
토할 것입니다. 또한
RAG
애플리케이션 구축에 필요한 기술적 결정을 논의하고 다양한 트레
이드오프를 고려하는 방법에 대한 지침을 제공할 것입니다.
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.