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ML Kit's GenAI Prompt API
AI Summary
In this video, you will explore the power of Google’s **Gemini Nano** and the new **ML Kit GenAI Prompt API**. Designed for Android developers, this technology enables sophisticated on-device AI that operates locally. By watching, you will learn how to leverage local processing for enhanced data privacy, reduced latency, and lower cloud costs. The presentation highlights real-world applications, such as automating data extraction and analyzing multimodal inputs like imagery. This tutorial is perfect for developers looking to integrate high-performance, cost-effective, and user-friendly AI features directly into their mobile applications to improve engagement and simplify complex user tasks.
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Subtitles (84 segments)
Let's look at Gemini Nano,
our most efficient model for on-device tasks.
It runs directly on mobile, enabling
low latency responses and data privacy.
While generative AI is transforming the mobile
capabilities from refining essays to creating imagery,
developers face the fundamental challenge
of achieving the speed and privacy of on-device AI
without sacrificing the power and flexibility of cloud-based models.
In Android, we have something brand new that will help
developers bring this next generation of mobile AI to life.
Intrigued, I naturally reached out to Oli, a product manager
on the ML Kit team, to hear all about this new capability.
So we're officially announcing the ML Kit's GenAI Prompt API.
It unlocks powerful on device AI capabilities with Gemini Nano,
our state-of-the-art model.
We know developers need power and performance now,
Full subtitles available in the video player
Key Vocabulary (49)
A piece of mechanical or electronic equipment designed to perform a specific function or task. It can also refer to a technique or method used to achieve a particular result, especially in literature or rhetoric.
An API, or Application Programming Interface, is a set of rules and protocols that allows different software applications to communicate and share data with each other. It acts as an intermediary, enabling one program to request services or information from another without needing to know how that program is built.
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