The TEN framework simplifies the integration of multimodal capabilities through the following mechanisms:
- Standardized expansion interface: Provide a unified voice, vision, text processing extension system, developers only need to dock the module according to the specification
- Preset Functional Components: Built-in StoryTeller (image generation), Web Search (information retrieval) and other common extensions, no need to develop from scratch!
- Low-code tool support: Drag-and-drop connection of input/processing/output modules via TMAN Designer, e.g., connecting "Speech Input" directly to "Vision Generation" module.
- Cross-modal data pipeline: The framework automatically handles data conversion between processes such as speech-to-text, text-triggered image generation, etc.
Take the integration of weather check as an example: after downloading the Weather Check extension, you only need to configure the API key of OpenWeatherMap, and the system will automatically deal with the whole chain of interactions of "voice questioning→text parsing→API call→voice reply".
This answer comes from the articleTEN: An open source tool for building real-time multimodal speech AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to solve the complex problem of integrating multimodal capabilities of AI intelligences?
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