User Guide

Refer to this guide to know how to use and leverage the features and capabilities of Razorthink AI — everything from setting up your project to monitoring your model’s training metrics to deploying them on a REST API.

Page Description
Projects Holds together all the artifacts related to the AI that you're building.
Workspace Data storage, sharing and collaboration facility.
Data Recipe Composable sequence of data transformation operations.
DL Model Designer Drag-n-drop interface to design and build deep learning models.
Pipeline Builder Drag-n-drop interface to compose an end-to-end workflow.
Run Explorer Manage, compare and schedule pipeline runs and model trains.
Jupyter Jupyter notebook to test code and run experiments.
Platform Settings Unified interface to manage users, libraries, permissions etc.
User Profile Manage user name, roles and option to logout of the platform.