What is Steev?
Steev is an AI training assistant designed to optimize the training process and enhance model performance. It works out of the box with zero configuration required, allowing engineers to focus on development rather than constantly monitoring training runs.
Steev proactively identifies potential errors in code, suggests improvements, and adjusts training parameters to ensure optimal results. The system provides real-time monitoring and sends instant notifications when user attention is needed, eliminating the need for continuous manual checks.
Features
- Robust Code Review & Insights: Identifies potential errors, provides fixes, and suggests better approaches in your code.
- Proactive Response for Optimal Results: Adjusts training parameters and resolves issues before they escalate.
- Real-Time Monitoring & Notifications: Tracks key variables during training and sends instant notifications when needed.
- Zero Configuration Required: Ready to go with zero setup required.
Use Cases
- Optimizing machine learning model training
- Automating training run management
- Improving code quality for AI models
- Reducing manual monitoring of training processes
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