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GenAI Processors: Build powerful and flexible Gemini applications
Learn about GenAI Processors, a new open-source Python library for building powerful and flexible Gemini applications with streamlined, real-time multimodal processing.
Building sophisticated AI applications with Large Language Models (LLMs), especially those handling multimodal input and requiring real-time responsiveness, often feels like assembling a complex puzzle: you're stitching together diverse data processing steps, asynchronous API calls, and custom logic. You can also build your own Live agent, leveraging a standard text-based LLM, using the bidirectional streaming capability of the GenAI Processor library and the Google Speech API ( full code on GitHub): We'd like to acknowledge the following individuals who played a key role in bringing this library to life: Juliette Love, KP Sawhney, Antoine He, Will Thompson, Arno Eigenwillig, Ke Wang, Parth Kothari, Tim Blyth, Philipp Schmid, Patrick Löber, Omar Sanseviero, Alexey Kolganov, Adam Langley, Evan Senter, Seth Odoom, Thierry Coppey, and Murat Ozturk.
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