このコースでは、Vertex AI ベクトル検索を紹介し、エンべディングのための大規模言語モデル（LLM）API を組み込んだ検索アプリケーションを構築するために使用する方法を説明します。このコースは、ベクトル検索とテキスト エンベディングの概念の説明、Vertex AI でベクトル検索を構築する実用的なデモ、ハンズオンラボで構成されています。
Vector Search and Embeddings - 日本語版
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Intermediate level
Some related experience required
2 hours to complete
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Learn at your own pace
What you'll learn
ベクトル検索のプロセス、アプリケーション、主要なテクノロジーを理解する。
エンべディングと、エンべディングに使用される LLM API について説明する。
Vertex AI ベクトル検索を使用して検索エンジンを構築する。
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July 2024
Assessments
1 assignment
Taught in Japanese
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There is 1 module in this course
このコースでは、Vertex AI ベクトル検索を紹介し、エンべディングのための大規模言語モデル（LLM）API を組み込んだ検索アプリケーションを構築するために使用する方法を説明します。このコースは、ベクトル検索とテキスト エンベディングの概念の説明、Vertex AI でベクトル検索を構築する実用的なデモ、ハンズオンラボで構成されています。
What's included
5 videos1 reading1 assignment1 app item
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Google Cloud
Coursera Project Network
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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