Posted by Terence Zhang – Developer Relations Engineer
At Google I/O, we unveiled a imaginative and prescient of Android reimagined with AI at its core. As Android builders, you are on the forefront of this thrilling shift. By embracing generative AI (Gen AI), you will craft a brand new breed of Android apps that provide your customers unparalleled experiences and pleasant options.
Gemini fashions are powering new generative AI apps each over the cloud and immediately on-device. Now you can construct with Gen AI utilizing our most succesful fashions over the Cloud with the Google AI shopper SDK or Vertex AI for Firebase in your Android apps. For on-device, Gemini Nano is our really helpful mannequin. We’ve additionally built-in Gen AI into developer instruments – Gemini in Android Studio supercharges your developer productiveness.
Let’s stroll by means of the most important bulletins for AI on Android from this 12 months’s I/O classes in additional element!
#1: Construct AI apps leveraging cloud-based Gemini fashions
To kickstart your Gen AI journey, design the prompts to your use case with Google AI Studio. As soon as you’re happy together with your prompts, leverage the Gemini API immediately into your app to entry Google’s newest fashions reminiscent of Gemini 1.5 Professional and 1.5 Flash, each with a million token context home windows (with two million out there by way of waitlist for Gemini 1.5 Professional).
If you wish to be taught extra about and experiment with the Gemini API, the Google AI SDK for Android is a good start line. For integrating Gemini into your manufacturing app, think about using Vertex AI for Firebase (at present in Preview, with a full launch deliberate for Fall 2024). This platform affords a streamlined strategy to construct and deploy generative AI options.
We’re additionally launching the primary Gemini API Developer competitors (phrases and situations apply). Now’s the perfect time to construct an app integrating the Gemini API and win unimaginable prizes! A customized Delorean, anybody?
#2: Use Gemini Nano for on-device Gen AI
Whereas cloud-based fashions are extremely succesful, on-device inference allows offline inference, low latency responses, and ensures that knowledge gained’t go away the system.
At I/O, we introduced that Gemini Nano might be getting multimodal capabilities, enabling gadgets to grasp context past textual content – like sights, sounds, and spoken language. This may assist energy experiences like Talkback, serving to people who find themselves blind or have low imaginative and prescient work together with their gadgets by way of contact and spoken suggestions. Gemini Nano with Multimodality might be out there later this 12 months, beginning with Google Pixel gadgets.
We additionally shared extra about AICore, a system service managing on-device basis fashions, enabling Gemini Nano to run on-device inference. AICore gives builders with a streamlined API for operating Gen AI workloads with nearly no affect on the binary dimension whereas centralizing runtime, supply, and significant security parts for Gemini Nano. This frees builders from having to take care of their very own fashions, and permits many purposes to share entry to Gemini Nano on the identical system.
Gemini Nano is already reworking key Google apps, together with Messages and Recorder to allow Sensible Compose and recording summarization capabilities respectively. Exterior of Google apps, we’re actively collaborating with builders who’ve compelling on-device Gen AI use circumstances and signed up for our Early Entry Program (EAP), together with Patreon, Grammarly, and Adobe.
Adobe is one in every of these trailblazers, and they’re exploring Gemini Nano to allow on-device processing for a part of its AI assistant in Acrobat, offering one-click summaries and permitting customers to converse with paperwork. By strategically combining on-device and cloud-based Gen AI fashions, Adobe optimizes for efficiency, price, and accessibility. Easier duties like summarization and suggesting preliminary questions are dealt with on-device, enabling offline entry and value financial savings. Extra advanced duties reminiscent of answering person queries are processed within the cloud, making certain an environment friendly and seamless person expertise.
That is just the start – later this 12 months, we’ll be investing closely to allow and intention to launch with much more builders.
To be taught extra about constructing with Gen AI, try the I/O talks Android on-device GenAI beneath the hood and Add Generative AI to your Android app with the Gemini API, together with our new documentation.
#3: Use Gemini in Android Studio that will help you be extra productive
In addition to powering options immediately in your app, we’ve additionally built-in Gemini into developer instruments. Gemini in Android Studio is your Android coding companion, bringing the facility of Gemini to your developer workflow. Because of your suggestions since its preview as Studio Bot eventually 12 months’s Google I/O, we’ve advanced our fashions, expanded to over 200 international locations and territories, and now embody this expertise in secure builds of Android Studio.
At Google I/O, we previewed plenty of options out there to attempt within the Android Studio Koala preview launch, like natural-language code strategies and AI-assisted evaluation for App High quality Insights. We additionally shared an early preview of multimodal enter utilizing Gemini 1.5 Professional, permitting you to add photographs as a part of your AI queries — enabling Gemini that will help you construct absolutely practical compose UIs from a wireframe sketch.
You possibly can learn extra in regards to the updates right here, and ensure to take a look at What’s new in Android improvement instruments.
