Summarize Text using SQL and LLMs in BigQuery ML

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Summarize Text using SQL and LLMs in BigQuery ML

Coursera · Intermediate ·🧠 Large Language Models ·3mo ago

Key Takeaways

Performs text summarization using SQL and LLMs in BigQuery ML

Original Description

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Open-Weight LLM API Integration: A Developer Guide to Building with Transparent AI
Learn to integrate open-weight LLM APIs for transparent AI, enabling fine-grained control and inspecting the architecture behind the intelligence
Dev.to AI
📰
Stop Writing Boilerplate: How I Automated My Entire Workflow with LLM APIs
Automate your LLM workflow using APIs to reduce repetitive code, increasing productivity and efficiency
Dev.to AI
📰
The real AI race may no longer be at the frontier
The AI race may shift from frontier models to open models due to cost, accessibility, and ownership, impacting production AI and enterprise adoption
TechCrunch AI
📰
Building a Document-RAG Agent on GCP's Agent Development Kit (ADK)
Learn to build a Document-RAG agent on GCP's Agent Development Kit (ADK) for efficient document-based conversational AI
Dev.to · Dale Nguyen
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →