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Description
The Google AI Edge Gallery is an innovative, open-source Android application designed to showcase various applications of on-device machine learning and generative AI, allowing users to download and utilize models offline once installed. This app features a range of functionalities, such as AI Chat for engaging in multi-turn conversations, Ask Image for uploading images to inquire about objects or obtain descriptions, Audio Scribe for transcribing or translating audio files, and Prompt Lab for performing single-turn tasks like summarization and code generation. Additionally, it provides performance insights, offering metrics on aspects like latency and decode speed. Users have the flexibility to switch between compatible models, including options like Gemma 3n and models from Hugging Face, as well as the ability to incorporate their own LiteRT models while accessing model cards and source code for increased transparency. By processing all data locally on the device, the app prioritizes user privacy, requiring no internet connection for core functionalities after the initial model load, which ultimately minimizes latency and bolsters data security. Overall, the Google AI Edge Gallery empowers users to explore cutting-edge AI capabilities while maintaining their privacy and control over their data.
Description
LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.
API Access
Has API
No
API Access
Has API
Yes
Integrations
C++
No
Gemma 3n
Yes
Google AI Edge Gallery
No
Hugging Face
Yes
JAX
No
Java
No
Kotlin
No
LiteRT
Yes
Objective-C
No
PyTorch
No
Integrations
C++
Yes
Gemma 3n
No
Google AI Edge Gallery
Yes
Hugging Face
No
JAX
Yes
Java
Yes
Kotlin
Yes
LiteRT
No
Objective-C
Yes
PyTorch
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Country
United States
Website
github.com/google-ai-edge/gallery/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No