AI Service

Easy and simple ML/DL model building and learning

Cloud-friendly environment for ML model development

Manage your machine learning models and data on Kubernetes-based MLOps platform. You can automate the entire ML pipeline from model development, training to deployment, so it becomes easier to create, configure, or re-use ML models.

Benefits

  • Cloud Native MLOps Environments

    Supports Kubeflow, an open source MLOps platform built on Kubernetes. On Kubeflow, you can conveniently manage models and data or use various open source tools on a unified Kubeflow-native MLOps environment.

  • Development Productivity Enhancement in Standardized Environment

    Various machine learning frameworks from Tensorflow, Pytorch, Scikit-learn to Keras are supported on Kubeflow. Repetitive tasks across ML pipeline from model development, learning to deployment can be automated end-to-end, making it easier to create, configure, or re-use models.

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Chrome, Edge Translation Function Guide

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How to use Chrome Translate

Open Chrome on your computer And check web pages written in English.

  • 1. On the right side of the address bar, click this icon.
  • 2. Choose Vietnamese.
  • 3. Chrome will translate the current webpage.
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2. How to use Edge Translate

Open Chrome on your computer And check web pages written in English.

  • 1. On the right side of the address bar, click this icon.
  • 2. Choose Vietnamese.
  • 3. Edge will translate the current webpage.
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3. If the translate icon is not visible in Edge

  • 1. Click the icon in the upper right corner
  • 2. Click the Settings.
  • 3. Click 'Language' on the left menu.
  • 4. On the right screen, click on the bar next to ‘Offer to translate pages that aren’t in alanguage I read' to activate it. If you enable this feature, you will see a message suggesting a translation in the upper right corner of the page for that language.