Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A new wallet is established by creating a unique set of cryptographic words, known as a mnemonic, which grants you access to your assets on the Cardano blockchain. Your mnemonic is not stored by us, and there is no method to reset it if forgotten. Consequently, if you misplace your mnemonic, we are unable to assist you in regaining access to your funds. The mnemonic is processed exclusively in your browser and remains confined to your device. However, if your computer is compromised by malware or a hacker, they could potentially capture the mnemonic you input on the AdaLite platform and gain access to your assets. AdaLite also offers the option to access your funds through a hardware wallet, currently compatible with Trezor model T, Ledger Nano X, and Ledger Nano S. This feature allows you to use AdaLite in the most secure way possible, without ever exposing your mnemonic. Because the mnemonic and private key do not leave the Ledger, they are safeguarded from potential theft. To safeguard against phishing attempts, it is wise to bookmark the official AdaLite URL and consistently verify it before entering any sensitive information. Additionally, keeping your software updated can further enhance your security against emerging threats.
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
API Access
Has API
Integrations
C++
CNFT.IO
Cardano
Cointelli
Divly
Google AI Edge Gallery
JAX
Java
Koinly
Kotlin
Integrations
C++
CNFT.IO
Cardano
Cointelli
Divly
Google AI Edge Gallery
JAX
Java
Koinly
Kotlin
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
AdaLite
Website
adalite.io
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Product Features
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)