Radal

Radal is a codeless platform that fine-tunes small language models using your own data, suitable for startups, researchers and businesses that need custom AI without involving the complexity of MLOps. Its main advantage is that it enables users to quickly train and deploy custom language models, lowers technical barriers and saves time and costs.

Demand population:

Radal is suitable for startups, researchers and businesses who need to quickly and easily train and deploy custom small language models without the need to involve complex MLOps processes.

Example of usage scenarios:

Healthcare: Fine-tune 7 B clinical model in hospital network to meet HIPAA requirements and save clinical staff time

Legal Technology: Fine-tune the 5B legal model on law firm documents, interrogation records and specific judicial regulations to save time for lawyers

Industrial IoT: Fine-tune 3 B edge model on vibration and sensor logs during each production line operation to identify abnormalities in real time

Product Features:

From datasets to training, Radal provides everything you need to train and deploy small language models

Interactive AI Layers: Talk to AI and build processes customized for you

No code canvas: Quick editing and iteration

Hugging Face integration: automatically push to HF hub, try to run locally

Training summary: View model settings, training statistics, and download the model immediately

Tutorials for use:

Enter the platform from Radal official website

Connect your dataset and configure training

Complete model training through a visual interface

Deploy the model and start applying it to your scenario