Main Purpose
Arize is an AI observability and LLM (Learning to Learn Model) evaluation platform. Its main purpose is to provide ML model monitoring and ML infrastructure to ensure the performance and reliability of machine learning models in production.
Key Features
- AI Observability: Arize offers AI observability to track and monitor model performance over time.
- LLM Evaluation: The platform provides LLM evaluations to gain visibility into the performance of machine learning models.
- ML Model Monitoring: Arize enables monitoring of ML models to ensure their performance and identify any issues or anomalies.
- ML Infrastructure: The platform offers ML infrastructure to support the deployment and management of machine learning models in production.
Use Case
- ML Model Performance Monitoring: Arize is used to monitor and track the performance of machine learning models in production.
- ML Model Reliability: The platform helps ensure the reliability and stability of machine learning models over time.
- ML Model Deployment: Arize supports the deployment and management of machine learning models in production environments.
