Radal implements zero-coding model training by the following design:
- Templated startupModel templates such as Transformer can be selected in the "Model Training" module to avoid complex architectural design.
- Visual Configuration: Adjust the number of model layers, attention mechanism and other parameters by dragging and dropping the interface, and display the accuracy/loss value and other metrics in real time.
- Automated assistance: After uploading CSV/JSON data, the platform automatically analyzes the quality and provides parameter optimization suggestions.
- Deployment of resultsThe trained model can be directly exported to ONNX or TensorFlow format, supporting one-click deployment.
The platform also provides "Get Started" guided tutorials and live chat support with an average response time of 10 minutes, significantly lowering the technical barrier.
This answer comes from the articleRadal: a low-code platform for rapid fine-tuning and optimization of AI modelsThe
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