Radal's core functionality consists of three main areas:
- Visual Model Training: Provides a drag-and-drop interface that allows users to configure and train AI models without writing code, and supports the selection of pre-trained models from a template library or the uploading of customized datasets.
- AI-powered automated workflows: Integration with existing enterprise systems (e.g. CRM/ERP) through connectors, support for 250+ APIs, ability to set trigger conditions and output formats for task automation.
- Multimodal data processing: It can process data in multiple formats such as video, image, text, etc., automatically extract key information (e.g. video keyframes, text sentiment analysis), and provide bias optimization options to enhance model accuracy.
All functions are operated through a unified user-friendly interface with real-time support services, and typical model training times range from 1-6 hours.
This answer comes from the articleRadal: a low-code platform for rapid fine-tuning and optimization of AI modelsThe
May not be reproduced without permission:AI productivity tools " What are the core features of the Radal platform?
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