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
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Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery

Instructor: Google Cloud Training
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Advanced level
Designed for those already in the industry
2 hours 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.
Skills you'll gain
Tools you'll learn
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Assessments
1 assignment
Taught in Indonesian
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There is 1 module in this course
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