Google launches new Google AI SDK to make Gemini Pro easier to integrate in Android applications

Google recently launched a new Google AI SDK designed to simplify the integration of Android apps with its high-performance Gemini Pro model. Developers do not need to build and manage their own backend infrastructure when using the SDK

According to Google, Gemini Pro is one of Google’s most powerful models and can be used to handle a wide range of text and image reasoning tasks. Gemini Pro runs on Google data centers and can be accessed through the Gemini API. Google says the easiest way to use Gemini is through Google AI Studio, a web-based tool that enables prototyping and running prompts in a browser. If satisfied with the results, developers can export the model as code and run it on the backend using the programming language of their choice, such as Python

When developing Android applications, Google provides the Google AI client SDK for Android, which encapsulates the Gemini REST API as a Kotlin native API. With this SDK, developers do not need to interact directly with the REST API or implement server-side services in Android apps to access Gemini models

In addition to the plain text model, Gemini also has a multimodal model (gemini-pro-vision) that can generate text from text and image inputs and supports streaming for faster interaction

To further simplify the developer's workflow, the latest Android Studio preview version launches a new project template that will guide developers to follow the steps required for Gemini Pro development

According to IT House’s understanding, in addition to providing Gemini Pro, Google also launched a smaller model, Gemini Nano. The model can run on the device, the data does not need to leave the device, and can be used even without a network. Gemini Nano can operate using AICore on some devices. AICore is a new system service in Android 14, designed to simplify the integration of artificial intelligence into Android applications, responsible for multiple aspects such as model management, runtime and security

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