Google Releases Gemini Multimodal Live API for Real-Time AI Interactions

Gemini: Real-time Interaction with the Multimodal Live API

Google has released the Multimodal Live API for Gemini, an interface that allows developers to create applications with real-time interactions. This new technology allows processing and responding to text, audio, and video input in real time. This opens a new chapter in human-computer interaction, enabling natural, dialogue-oriented communication with AI systems.

Functionality and Possibilities

The Multimodal Live API is based on WebSockets to ensure low-latency server-to-server communication. It supports various functions, including function calls, code execution, and the integration of search functions. These tools can be combined within a single request, enabling complex responses without multiple prompts.

Key features of the Multimodal Live API include:

• Bidirectional Streaming: Simultaneous sending and receiving of text, audio, and video data.
• Sub-second Latency: The first response occurs within milliseconds, enabling seamless interaction.
• Natural Language Conversations: Support for human-like language interactions, including the ability to interrupt the model.
• Video Understanding: Processing and understanding video input to better grasp the context of the request.
• Tool Integration: Integration of external services and data sources for more comprehensive responses.
• Controllable Voices: Selection of different voices with varying expressive capabilities.

Application Examples

The Multimodal Live API opens up a variety of application possibilities for real-time interactions:

• Real-time Virtual Assistants: An assistant that observes the screen and provides context-sensitive support in real time.
• Adaptive Learning Programs: Adaptation to the user's learning pace, e.g., in language learning apps.

For Developers

Google offers developers various resources to experiment with the Multimodal Live API and develop their own applications:

• Google AI Studio: Direct experimentation opportunities with the Multimodal Live API.
• Documentation and Code Examples: Detailed information and practical examples for implementation.
• Integration with Daily: Seamless integration of real-time features into web and mobile apps via Daily.co's Pipecat framework.

The Multimodal Live API is currently available as an experimental version of the Gemini 2.0 Flash model. Google plans to make the API generally available in January 2025 and offer additional model sizes.

Gemini 2.0: The Next Generation of AI Models

Gemini 2.0 is Google's latest generation of AI models, designed for a more agile era. With advancements in multimodality, such as native image and audio output, and the native use of tools, Gemini 2.0 enables the development of new AI agents that are closer to the concept of a universal assistant.

Gemini 2.0 Flash, the first model in the Gemini 2.0 family, offers improved performance with fast response times. It outperforms Gemini 1.5 Pro in key benchmarks and is twice as fast. In addition to multimodal inputs, Gemini 2.0 Flash also supports multimodal outputs, such as natively generated images and controllable text-to-speech audio output. It can also natively call tools like Google Search, code execution, and custom functions.

Bibliographies: https://ai.google.dev/api/multimodal-live https://developers.googleblog.com/en/gemini-2-0-level-up-your-apps-with-real-time-multimodal-interactions/ https://ai.google.dev/api/multimodal-live?authuser=8&hl=de https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/ https://blog.google/feed/gemini-jules-colab-updates/ https://www.youtube.com/watch?v=9hE5-98ZeCg https://x.com/googledevs?lang=de https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/multimodal-live