The recently introduced GenAI APIs in ML Kit allow developers to harness Gemini Nano for efficient on-device inference in Android applications, enabling functionalities like summarization, rewriting, and image description. These APIs ensure that user data remains local and free from cloud costs. With high-level abstractions, they allow seamless integration without the need for specialized prompt engineering. The innovative stack approach enhances performance with a systematic evaluation pipeline. Moreover, the APIs support both streaming and non-streaming responses, allowing for an optimal user experience.
The GenAI APIs enable on-device inference in Android apps, allowing features like summarization and image description, all while keeping data local without Cloud costs.
With easy integration and high-level abstractions, the GenAI APIs provide quality results without needing extensive prompt engineering or fine-tuning.
The performance of the APIs is enhanced through a layered component approach, incorporating automated raters and tailored benchmark scores for improvement.
Streaming workflows allow for longer responses to be displayed incrementally, enhancing user experience during text generation.
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