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Google Cloud Training

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.

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What's inside

Syllabus

Vector Search et représentations vectorielles continues
Ce cours présente Vertex AI Vector Search et décrit comment l'utiliser afin de créer une application de recherche avec des API LLM pour les représentations vectorielles continues. Il comprend des leçons conceptuelles sur la recherche vectorielle et l'embedding textuel (ou "plongement textuel"), des démonstrations pratiques de création d'une recherche vectorielle sur Vertex AI, ainsi qu'un atelier pratique.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Développe des compétences fondamentales pour la recherche vectorielle et l'incorporation de texte
Proposé par Google Cloud Training, reconnu pour son expertise en intelligence artificielle et en apprentissage automatique
Fournit des démonstrations pratiques pour une compréhension concrète de la création d'une recherche vectorielle
Explore les concepts de recherche vectorielle et d'incorporation de texte, essentiels dans les applications modernes
Inclut des exercices pratiques pour renforcer les connaissances et les compétences acquises

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Vector Search and Embeddings - Français with these activities:
Créez une application de recherche à l'aide de Vertex AI Vector Search
Mettez en pratique vos connaissances en créant une application de recherche fonctionnelle, ce qui vous aidera à consolider les concepts de recherche vectorielle.
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  • Configurez un projet GCP
  • Créez un index de recherche vectorielle
  • Implémentez l'API LLM pour les représentations vectorielles continues
  • Évaluez les résultats de la recherche
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