Guide-linked quiz · Medium Level
Google Gemini Quiz
Review Gemini’s multimodal model family, historical Nano and 1.5 capabilities, and how product names and availability vary by generation.
Question 1 of 8
What does it mean that Gemini is 'natively multimodal'?
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- What does it mean that Gemini is 'natively multimodal'?
- It was trained from the start on text, images, audio, and video together rather than bolting vision onto a text model
- It only works in multiple spoken languages
- It requires multiple GPUs to run
- It can only process one type of input at a time
- Which Gemini size is designed to run directly on-device, such as on Pixel phones?
- Gemini Ultra
- Gemini Nano
- Gemini Pro
- Gemini Flash
- What product did Gemini replace as Google's consumer chatbot?
- Assistant Pro
- Duet
- Bard
- LaMDA Chat
- What architecture did Google describe for Gemini 1.5?
- Recurrent neural networks
- Convolutional layers only
- A single dense layer
- Mixture-of-Experts (MoE) routing
- What context window did Google announce for Gemini 1.5 Pro at its initial public preview?
- One million tokens
- Eight thousand tokens
- Thirty-two thousand tokens
- Ten million tokens
- Which Google research project is associated with Gemini-powered real-time multimodal assistance?
- Project Loon
- Project Astra
- Project Tango
- Project Fi
- What sizes did Google announce for the original Gemini 1.0 family?
- 2B, 7B, and 70B
- Flash, Lite, and Max
- Ultra, Pro, and Nano
- Text, Image, and Audio
- What should a reader check before treating a Gemini feature as current?
- Only the original Gemini 1.5 announcement
- A model’s parameter count alone
- Whether a third-party app uses the word Gemini
- The exact model generation, product, and availability documentation
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