Radal is a no-code platform for fine-tuning small language models using your own data. Connect your dataset, configure training visually, and deploy your model in minutes.
Radal is a no-code platform that fine-tunes small language models using your own data, for startups, researchers, and enterprises that need custom AI without the complexity of MLOps. Its main advantage is that it enables users to quickly train and deploy custom language models, lowering the technical threshold and saving time and costs.
Radal is suitable for startups, researchers, and enterprises who need to quickly and easily train and deploy custom small language models without involving complex MLOps processes.
Healthcare: Fine-tuning 7 B clinical models across hospital networks to meet HIPAA requirements and save clinical staff time
Legal Technology: Fine-tune the 5 B legal model on law firm documents, trial transcripts and specific judicial regulations to save lawyers time
Industrial IoT: Fine-tune 3 B edge models on vibration and sensor logs from every production line run to identify anomalies in real time
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