Monitor, explain, analyze, and protect LLM applications and ML Models. Gain visibility and actionable insights with the Fiddler AI Observability and Security platform.

Fiddler is a comprehensive platform designed to support model monitoring and management, providing users with a robust set of tools to ensure their models perform optimally. It allows users to onboard models, monitor data, and configure various features such as alerts and custom metrics directly from Python environments. The platform includes a Python client that facilitates interaction with the Fiddler environment, enabling seamless integration into automated pipelines and notebooks.

One of the key features of Fiddler is its monitoring charts, which enable users to track model performance, data drift, data integrity, and traffic metrics. These charts offer flexibility in plotting multiple metrics and models in a single view, allowing for detailed comparisons and analyses. Users can customize chart views using filters such as time range, time zone, and bin size, and can switch between line and bar chart visualizations. Additionally, Fiddler supports the creation of custom metric formulas, providing users with ultimate flexibility in monitoring their models.

Fiddler also offers capabilities for debugging and troubleshooting, making it a valuable tool for developers and data scientists looking to identify and resolve issues efficiently. By integrating Fiddler into their workflows, users can enhance the reliability and performance of their models, ensuring they operate effectively in production environments.

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