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
No
API Access
Has API
Yes
Integrations
C++
No
CNFT.IO
Yes
Cardano
Yes
Cointelli
Yes
Divly
Yes
Google AI Edge Gallery
No
JAX
No
Java
No
Koinly
Yes
Kotlin
No
Integrations
C++
Yes
CNFT.IO
No
Cardano
No
Cointelli
No
Divly
No
Google AI Edge Gallery
Yes
JAX
Yes
Java
Yes
Koinly
No
Kotlin
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
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
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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
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