Next-Generation Multimodal AI at Production Scale
Google DeepMind's Gemini 2.0 lineup represents the maturation of natively multimodal foundation models. Rather than tacking vision and audio encoders onto an existing text decoder, Gemini was built from inception to process text, audio, image, and video tokens synchronously.
Gemini 2.0 Flash: Sub-Second Multimodal Latency
Gemini 2.0 Flash achieves unprecedented speed while maintaining near-frontier accuracy. Through the new Multimodal Live API, developers can feed live camera video and bidirectional low-latency audio streams directly to the model, enabling natural conversational interactions that mirror human dialogue.
Technical Breakthrough: Gemini 2.0 supports real-time function calling during live audio streams, allowing agents to manipulate databases and control web apps while continuously conversing.
