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Overview
"Grounding Gemini Models in Vertex AI" is a practical course focused on enhancing the reliability and factual accuracy of generative AI outputs using grounding techniques within the Google Cloud Vertex AI ecosystem. Grounding is the process of aligning model-generated responses with external, trusted data sources—ensuring that large language models (LLMs), like Gemini, provide more truthful, contextually relevant, and actionable information. In this course, learners will explore how to implement grounding using tools such as Vertex AI’s Gemini API, vector databases, and...
Syllabus
- Grounding Gemini Models in Vertex AI
Google Cloud via Coursera
1 hour 30 minutes
Paid Certificate Available
English
On-Demand
Beginner
Instructor
Google Cloud Training
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