The training efficiency depends on the data size and model complexity, small datasets below 10MB can be completed in 1-2 hours, and large projects no more than 6 hours. The platform uses a distributed computing architecture to automatically optimize resource allocation, increasing efficiency by 5-8 times compared to traditional development models. The real-time monitoring panel displays GPU utilization, memory usage and other indicators to help users balance training speed and hardware costs.
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 " Standard AI model training typically takes 1-6 hours on the Radal platform
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