Gemini - Google DeepMind's Most General and Capable AI Models
Product Information
Key Features of Gemini - Google DeepMind's Most General and Capable AI Models
Gemini models are built from the ground up for multimodality, seamlessly combining and understanding text, code, images, audio, and video. They can generate code based on different kinds of inputs, understand and perform tasks involving several different written languages, and more.
Multimodal Understanding
Gemini models can understand and perform tasks involving multiple modalities such as text, code, images, audio, and video.
Code Generation
Gemini models can generate code based on different kinds of inputs.
Multilingual Support
Gemini models can understand and perform tasks involving several different written languages.
Long Context Understanding
Gemini models can understand and perform tasks involving long context, including documents, code, and more.
Safety and Responsibility
Gemini models undergo extensive ethics and safety tests, including adversarial testing for bias and toxicity.
Use Cases of Gemini - Google DeepMind's Most General and Capable AI Models
Research Assistant: Understand the key attributes of a research paper’s methodology.
Plant Care: How do I best care for this plant?
Which Shape Comes Next: Given a series of shapes, guess which shape comes next.
Pros and Cons of Gemini - Google DeepMind's Most General and Capable AI Models
Pros
- Highly Capable Multimodal Models
- Seamless Combination of Multiple Modalities
- Extensive Ethics and Safety Tests
Cons
- Limited to Specific Use Cases
- May Require Additional Training Data
- Dependent on Google AI Studio and Google Cloud Vertex AI
How to Use Gemini - Google DeepMind's Most General and Capable AI Models
- 1
Sign up for a Google AI Studio account
- 2
Choose the Gemini model that best suits your use case
- 3
Integrate the Gemini model into your application using Google Cloud Vertex AI