Miles
Open reinforcement learning framework that simplifies and stabilizes training.
What is Miles?
Miles is an open reinforcement learning framework designed to simplify and enhance the training process. It provides stability and efficiency, making it suitable for both research labs and enterprise applications.
What are the key features?
- Native support for agentic RL.
- Stable and fast training capabilities.
- Comprehensive post-training recipes.
- Day 0 support for frontier models.
- Extensive hardware compatibility.
Who should use this?
- Researchers reinforcement learning models.
- Enterprises implementing scalable RL solutions.
- Data scientists optimizing training processes.
- Engineers working with large-scale models.
- Labs exploring advanced RL environments.
How does Miles help with AI visibility?
Miles does not help with AI visibility. Instead, it is an open reinforcement learning framework designed to simplify and enhance the training process. With features like stability and efficiency, it supports both research labs and enterprise applications. This helps teams invest more in SEO work that improves discoverability.
