GenAI Processors: Build powerful and flexible Gemini applications
10 months ago
- #Python
- #AI
- #Google DeepMind
- Google DeepMind introduces GenAI Processors, an open-source Python library for building AI applications with Large Language Models (LLMs).
- GenAI Processors provides an abstraction layer with a consistent Processor interface for handling input, pre-processing, model calls, and output processing.
- The library treats all input and output as asynchronous streams of ProcessorParts, enabling seamless chaining and composition of operations.
- Example use cases include building a 'Live Agent' for real-time audio and video processing with the Gemini Live API.
- GenAI Processors leverages native Python features like asyncio for efficient handling of I/O-bound and compute-bound tasks.
- The library simplifies interaction with the Gemini API, reducing boilerplate and accelerating integration.
- GenAI Processors is designed for both streaming and non-streaming use cases, improving latency and user experience.
- The library is currently in early stages and encourages community contributions for specialized functionalities.