What is Openlayer?
Openlayer is a comprehensive evaluation workspace for machine learning. It simplifies the process of testing, evaluating, and observing language learning models, providing real-time alerts to track your model's performance. Its developer-first approach ensures a smooth, 60-second onboarding, and simplifies tracking changes with commit-style versioning. You can secure your data with SOC 2 Type 2 compliant and on-premise hosting options.
Features
- Push your workflow with a few lines of code
- Automatic testing for your models
- Monitor with real-time alerts
- Track and compare versions with a commit system
- 60-second onboarding
- Commit-style versioning
- Seamless notifications
- Secure your data with SOC 2 Type 2 compliant platform
Use Cases
- Data scientists
- Machine learning engineers
- Product managers
- CTOs
- Domain experts
FAQs
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What is Openlayer?
Openlayer is a secure platform designed for evaluating, testing, and monitoring machine learning models. It simplifies the process of understanding your model's performance with features like real-time alerts and commit-style versioning. -
How quickly can I start using Openlayer?
Openlayer boasts a user-friendly design that allows for onboarding in just 60 seconds. -
How does Openlayer ensure the security of my data?
Openlayer prioritizes data security and offers SOC 2 Type 2 compliant and on-premise hosting options to keep your information safe. -
Can I track the performance of my models over time with Openlayer?
Yes, Openlayer allows you to monitor your models with real-time alerts and provides a commit-style versioning system for easy tracking and comparison of changes. -
Who benefits from using Openlayer?
Openlayer is beneficial for a variety of professionals, including data scientists, machine learning engineers, product managers, CTOs, and domain experts involved in the machine learning lifecycle.
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