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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

Products must not only be functional but also economically viable. Reality AI combines machine learning with sophisticated signal processing mathematics, providing rapid and efficient machine learning inference that can operate on the tiniest microcontrollers, thus enabling advanced features in cost-effective hardware. Engineers are unlikely to implement a solution they do not fully comprehend. With Reality AI Tools®, users gain insights through visual representations of model behavior across both time and frequency domains, facilitating clear explanations to colleagues and stakeholders regarding model performance. A significant portion of the expenses associated with machine learning initiatives—up to 80%—is attributed to instrumentation and data collection. Reality AI Tools® excels at determining the most budget-friendly combinations of sensor channels, optimizing sensor placements, and establishing essential component specifications. Additionally, it assists in controlling data collection costs by identifying issues with instrumentation and data processing while data is being collected, ensuring a more streamlined process overall. This comprehensive approach not only enhances project efficiency but also empowers teams to make more informed decisions throughout the development phase.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow

Integrations

C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge/litert

Vendor Details

Company Name

Reality AI

Founded

2015

Country

United States

Website

reality.ai

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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