Radal

What is Radal?

Radal is a powerful tool that lets you train small language models without needing to write any code. It provides a simple and intuitive way to build, train, and deploy AI models. With Radal, you can drag and drop your data, use an AI copilot to guide you, and train models that can run on various devices.

Benefits

Radal offers several key benefits:

• No-Code Interface: Easily edit and iterate on your models without writing any code.
• AI Copilot: Get help from an AI assistant that constructs a tailored flow for you.
• Hugging Face Integration: Automatically push your models to the Hugging Face hub.
• Local Training: Train models that can run on edge devices for continued inference.
• Training Summary: View your model settings, training stats, and download the .gguf file instantly.

Use Cases

Radal is ideal for a variety of applications:

• Researchers: Quickly prototype and test small language models.
• Developers: Integrate trained models into applications without extensive coding.
• Businesses: Deploy custom AI models for specific tasks and use cases.
• Educators: Teach AI and machine learning concepts without requiring deep technical knowledge.

FAQ

Radal provides answers to common questions to help you make the most of its features. Some of the questions include:

• What size models can I train with Radal?
• Can I use my own base model?
• What does the Copilot actually do?
• How can I try out my trained model?
• Why even build this? Don’t LLMs already do everything?
• When can I try it out?

Blog

The Radal blog offers insights and strategies to help you understand and utilize the platform effectively. Topics include the process of dragging, dropping, asking, and training models.