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
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Intermediate level
Some related experience required
2 hours to complete
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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
Taught in Korean
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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
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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.
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