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Description
Intro streamlines the processes of searching, screening, and reaching out to potential candidates, allowing you to focus on interviewing those who are most qualified. Engage with one of our specialists to refine your candidate targeting strategy. You have control over which candidates receive outreach, and communications will be sent directly from your personal email. We diligently search the internet to identify software engineers and other tech professionals skilled in languages such as Java, .NET, Ruby, and Python, as well as frameworks like React, Angular, and various web technologies including HTML and CSS. Our expertise covers a wide range of skills and experience throughout the entire technology stack. For mobile development, we can locate talent proficient in Java, Kotlin for Android, and Swift or Objective-C for iOS and Apple devices. Candidates we present will have backgrounds in both software development and operations. Our pricing structure is based on the number of positions you wish to fill and the complexity of those roles. We guarantee a specified number of qualified candidates who have expressed interest. While consulting can be an appealing option, it may not suit everyone. Our automated search and screening processes significantly enhance efficiency, ensuring you connect with the right talent swiftly. Additionally, our service adapts to your unique hiring needs for maximum effectiveness.
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++
CC3
Google AI Edge Gallery
Greenhouse
JAX
Java
Knowit ERP
Kotlin
Objective-C
PyTorch
Integrations
C++
CC3
Google AI Edge Gallery
Greenhouse
JAX
Java
Knowit ERP
Kotlin
Objective-C
PyTorch
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
Intro
Founded
2019
Country
Sweden
Website
www.intro.io
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Product Features
Recruiting
Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal
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)