Gemini is designed to be inherently multimodal, undergoing pretraining across different modalities from the outset. Subsequently, we fine-tune it using additional multimodal data to further enhance its effectiveness. This enables Gemini to smoothly comprehend and reason about various types of input from the initial stages, far surpassing existing multimodal models in virtually every domain.
- Gemini 1.0 possesses sophisticated multimodal reasoning capabilities that aid in understanding complex written and visual information. This unique skill set empowers it to uncover discerning knowledge content within vast datasets.
- Trained Gemini 1.0 can simultaneously recognize and comprehend text, images, audio, and more. Consequently, it excels in understanding nuanced information and answering questions related to intricate subjects. This makes it particularly adept at reasoning in complex subjects like mathematics and physics.
- Our first-generation Gemini can understand, interpret, and generate high-quality code in the world's most popular programming languages, such as Python, Java, C++, and Go. Its cross-language functionality and ability to reason about complex information make it one of the world's leading foundational models for coding.