Typical applications include: intelligent customer service system based on audio and video streaming, realizing natural language interaction through Gemini API; academic research assistant automatically generating topic proposals and literature analysis; multimedia content processing pipeline realizing automatic subtitle generation, etc. Its asynchronous architecture can effectively utilize modern multi-core CPU resources, showing significant performance advantages when processing tasks such as live streaming and batch data sets.
This answer comes from the articleGenAI Processors: lightweight Python library supports efficient parallel processing of multimodal contentThe
May not be reproduced without permission:AI productivity tools " The tool is suitable for multimodal application scenarios such as real-time conversational agents and academic research support
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