Gemini
Google's Gemini - best practices and techniques
Overview
Gemini is Google's multimodal AI model, designed from the ground up to be natively multimodal - understanding and reasoning across text, code, images, audio, and video. It's integrated across Google's products including Search, Workspace, and Gemini apps.
Gemini 1.5 Pro offers large context windows (up to 2M tokens) and strong performance on reasoning tasks. Available via gemini.google.com and Google AI Studio.
Strengths
Multimodal
Native support for images, audio, and video input
Long Context
Can process very long documents and codebases
Google Integration
Deep integration with Search and Workspace
Code Generation
Strong coding capabilities with good explanations
Gemini-Specific Tips
- 01 Leverage multimodal input
Include images, screenshots, or diagrams when relevant
- 02 Use system instructions
Set persistent behavior via system prompts
- 03 Be specific about output
Gemini works well with explicit format requirements
- 04 Use grounding options
Enable Google Search grounding for current information
Example Prompt
This prompt leverages Gemini's multimodal strengths by including an image, provides clear context about the target audience, and specifies a structured output format. Gemini excels at visual analysis combined with contextual reasoning.