이 과정에서는 Vertex AI 벡터 검색을 소개하고, Vertex AI 벡터 검색을 사용해 임베딩용 대규모 언어 모델(LLM) API로 검색 애플리케이션을 빌드하는 방법을 설명합니다. 이 과정은 벡터 검색 및 텍스트 임베딩의 개념을 설명하는 강의, Vertex AI에서 벡터 검색을 빌드하는 방법을 보여주는 실용적인 데모, 실무형 실습으로 구성됩니다.
Vector Search and Embeddings - 한국어
Vector Search and Embeddings - 한국어
Taught in Korean
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
벡터 검색의 프로세스, 애플리케이션, 주요 기술을 이해합니다.
임베딩과 임베딩에 사용되는 LLM API를 설명합니다.
Vertex AI 벡터 검색을 사용해 검색엔진을 빌드합니다.
Details to know
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August 2024
Assessments
1 assignment
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There is 1 module in this course
이 과정에서는 Vertex AI 벡터 검색을 소개하고, Vertex AI 벡터 검색을 사용해 임베딩용 대규모 언어 모델(LLM) API로 검색 애플리케이션을 빌드하는 방법을 설명합니다. 이 과정은 벡터 검색 및 텍스트 임베딩의 개념을 설명하는 강의, Vertex AI에서 벡터 검색을 빌드하는 방법을 보여주는 실용적인 데모, 실무형 실습으로 구성됩니다.
What's included
5 videos1 reading1 assignment1 app item
Instructor
Offered by
Recommended if you're interested in Software Development
Google Cloud
Google Cloud
Google Cloud
Google Cloud
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.