Este curso apresenta o Vertex AI Vector Search e descreve como ele pode ser usado para criar um aplicativo de pesquisa com APIs de modelo de linguagem grande (LLM) para embeddings. O curso é composto de aulas teóricas sobre pesquisa vetorial e embeddings de texto, demonstrações práticas de como criar essas pesquisas na Vertex AI e um laboratório.
Vector Search and Embeddings - Português Brasileiro
Vector Search and Embeddings - Português Brasileiro
Instructor: Google Cloud Training
Sponsored by Coursera for Reliance Family
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Reconhecer o processo, os aplicativos e as principais tecnologias da pesquisa vetorial.
Descrever embeddings e as APIs de LLM usadas para embeddings.
Criar um mecanismo de pesquisa usando o Vertex AI Vector Search.
Details to know
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Assessments
1 assignment
Taught in Portuguese (Brazil)
Recently updated!
July 2024
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There is 1 module in this course
Este curso apresenta o Vertex AI Vector Search e descreve como ele pode ser usado para criar um aplicativo de pesquisa com APIs de modelo de linguagem grande (LLM) para embeddings. O curso é composto de aulas teóricas sobre pesquisa vetorial e embeddings de texto, demonstrações práticas de como criar essas pesquisas na Vertex AI e um laboratório.
What's included
5 videos1 reading1 assignment1 app item
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