tomevault-io Gemini
Gemini is Google's native multimodal model. Uniquely, it accepts video and huge context (2M+ tokens) natively. 2025 sees Gemini 2.0/3.0.
When to Use
- Massive Context: "Here is a 1-hour video. Find the timestamp where..."
- Multimodal Live: Real-time voice/video interaction.
- Google Ecosystem: Integrated with Vertex AI, Search (Grounding), and Workspace.
Core Concepts
Models
- Pro: The best all-rounder.
- Flash: Extremely fast and cheap. High throughput.
- Ultra: The largest reasoning model.
Grounding
Connects the model to Google Search to provide citations and up-to-date info.
Context Initial Caching
Cache the context (e.g., a massive manual) to reduce cost/latency on subsequent queries.
Best Practices (2025)
Do:
- Use Flash for RAG: 2.0 Flash is smart enough for most RAG & cheaper/faster.
- Use Grounding: Eliminate hallucinations by enforcing "Google Search" grounding.
- Upload Video: Don't transcribe video manually; Gemini watches it.
Don't:
- Don't confuse with PaLM: Gemini replaced PaLM 2 completely.
References
Converted and distributed by TomeVault — claim your Tome and manage your conversions.