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Overview
This topic explores how to leverage BigQuery ML combined with Large Language Models (LLMs) to perform text summarization directly within Google Cloud’s BigQuery environment using SQL. By integrating LLM capabilities into BigQuery ML, data professionals and analysts can efficiently generate concise summaries from large volumes of textual data without needing to move data out of the warehouse. The approach uses SQL queries to call pre-trained LLMs, enabling seamless text processing, such as extracting key points, generating abstracts, or condensing lengthy documents....
Syllabus
- Summarize Text using SQL and LLMs in BigQuery ML
Instructor
Google Cloud Training
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