Multimodal AI capabilities of Gemini: Text, image, and code understanding

Google's Gemini AI is a highly advanced multimodal model natively designed to understand and reason across multiple input types including text, images, audio, video, and code simultaneously. It supports multimodal prompts where users can input combinations of text and images (and other modalities) and receive coherent, text-based responses that demonstrate deep understanding and sophisticated reasoning.

Key multimodal capabilities of Gemini include:

• Text understanding: Gemini excels at complex language tasks, including reasoning in challenging domains like math and physics, and can process large volumes of documents to extract insights.

• Image understanding: It can perform detailed image analysis such as object counting, handwriting recognition, scene understanding, and inferring temporal information. It can interpret complex visual layouts like tables and charts without needing specialized models.

• Code understanding and generation: Gemini can understand, explain, and generate high-quality code in popular programming languages such as Python, Java, C++, and Go, enabling developers to build advanced applications.

• Audio and video: Gemini also processes audio and video inputs, supporting multimodal outputs in its latest versions, which expands its use cases to richer media interactions.

• Sophisticated multimodal reasoning: Unlike earlier models that stitched together separate modality-specific components, Gemini is pretrained from the ground up on multiple modalities, allowing it to seamlessly integrate and reason about combined inputs with state-of-the-art performance across benchmarks.

• Applications: Gemini powers Google AI Mode and other services, enabling nuanced, context-aware responses that combine visual search (via Google Lens) with natural language understanding to provide detailed, layered answers about images and scenes.

In summary, Gemini represents a leap forward in multimodal AI by natively integrating text, image, audio, video, and code understanding, enabling advanced reasoning and generation capabilities that support a wide range of real-world applications from scientific research to software development and creative tasks.