Kursus ini mengeksplorasi solusi Retrieval-Augmented Generation (RAG) di BigQuery untuk memitigasi halusinasi AI. Kursus ini akan memperkenalkan alur kerja RAG yang mencakup pembuatan embedding, penelusuran ruang vektor, dan pembuatan jawaban yang lebih baik. Kursus ini akan menjelaskan alasan konseptual di balik langkah-langkah ini dan implementasi praktisnya dengan BigQuery. Di akhir kursus, peserta akan dapat membangun pipeline RAG menggunakan BigQuery dan model AI generatif seperti Gemini dan model embedding untuk menangani kasus penggunaan halusinasi AI mereka sendiri.
Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery
Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery
Instructor: Google Cloud Training
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Advanced level
Designed for those already in the industry
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Membuat embedding menggunakan model embedding dengan BigQuery.
Melakukan penelusuran vektor di BigQuery dan memahami prosesnya.
Membuat pipeline RAG (Retrieval-Augmented Generation) dengan BigQuery.
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April 2025
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1 assignment
Taught in Indonesian
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There is 1 module in this course
Kursus ini mengeksplorasi solusi Retrieval-Augmented Generation (RAG) di BigQuery untuk memitigasi halusinasi AI. Kursus ini akan memperkenalkan alur kerja RAG yang mencakup pembuatan embedding, penelusuran ruang vektor, dan pembuatan jawaban yang lebih baik. Kursus ini akan menjelaskan alasan konseptual di balik langkah-langkah ini dan implementasi praktisnya dengan BigQuery. Di akhir kursus, peserta akan dapat membangun pipeline RAG menggunakan BigQuery dan model AI generatif seperti Gemini dan model embedding untuk menangani kasus penggunaan halusinasi AI mereka sendiri.
What's included
6 videos1 reading1 assignment1 app item
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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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