Overview
What is Gemini?
Section titled “What is Gemini?”Gemini is a family of large language models developed by Google DeepMind, designed for multimodal capabilities, meaning it can process and generate text, images, code, and other data formats.
It aims to combine state-of-the-art reasoning with integration into Google’s ecosystem and tools.
Gemini models are positioned as Google’s successor to PaLM 2, with enhanced performance and broader application scope.
Key features
Section titled “Key features”- Multimodal input and output (text, images, audio, code, etc.)
- Advanced reasoning and problem solving
- Strong integration with Google tools and APIs
- Large context window in newer versions
- Support for multiple languages
Strengths
Section titled “Strengths”- Handles text + image tasks natively
- Excellent at complex reasoning with mixed data types
- Seamless integration into Google Workspace and developer tools
- Strong for search-based and research-heavy tasks
Limitations
Section titled “Limitations”- Availability may be region-limited
- Model access often tied to Google Cloud or Bard services
- May prioritize Google data sources in responses
Best use cases
Section titled “Best use cases”- Research assistance combining text and visual data
- Educational tools with mixed media input
- Automated reporting combining structured and unstructured data
- Search-enhanced Q&A leveraging Google’s knowledge base
Prompting tips for Gemini
Section titled “Prompting tips for Gemini”- Include multimodal references when relevant (images, links, etc.)
- Be explicit about output format when mixing text and visuals
- Break complex multi-data tasks into structured steps
- Leverage Google Workspace integration for workflow automation
Model compatibility in this documentation
Section titled “Model compatibility in this documentation”Prompts marked as Gemini-compatible have been tested on Gemini 1.5 or later.
Multimodal-specific prompts are labeled accordingly.