Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery
About 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.Created by: Google Cloud
Related Online Courses
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI... more
The Planning a Machine Learning Project course introduces requirements to determine if ML is the appropriate solution to a business problem. This course focuses on business leaders and other... more
Learn to excel in product management roles while learning directly from industry-leading product managers and real-world case studies from Amazon, Intuit, Procter and Gamble, Barnes and Noble,... more
Are you ready to take your remote team\'s productivity and engagement to the next level? This course provides practical strategies to boost productivity, improve communication, and foster... more
Generative Artificial Intelligence (AI) has proven its value across industries. As learners explore the world of AI, they need to familiarize themselves with the myriad of possibilities available... more
Powered by
