Fundamentals of GenAI (30%)
Gemini vs Gemma
KEY CONCEPTS
- →Gemini: Proprietary, API-accessed, managed by Google
- →Gemma: Open weights, self-hosted, customizable
- →Gemini Nano: Edge deployment for devices
- →Imagen: Text-to-image generation
- →Veo: Video generation
- →Use case alignment: control vs convenience
- →Cost implications of each approach
WHAT THE EXAM IS REALLY TESTING
Critical distinction. Exam frequently tests scenarios where choosing Gemini vs Gemma matters based on control, cost, compliance.
COMMON TRAPS
- !Assuming Gemma is just "smaller Gemini"
- !Forgetting Gemma requires infrastructure management
- !Ignoring licensing and compliance requirements
- !Confusing Gemini Nano (edge) with Gemma (open-weight)
OFFICIAL DOCUMENTATION
STUDY Q&A
- What is the main difference between Gemini and Gemma?Gemini is a proprietary, managed model accessible via API on Google Cloud, ideal for ready-to-use, scalable solutions. Gemma is open-weight, allows self-hosting and customization, but requires infrastructure management and attention to compliance and licensing.
PRACTICE QUESTIONS
11 questions available for this topic
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