Learn how to monitor, get alerts, and troubleshoot LLM applications and ML models with Fiddler’s AI Observability platform. Whether you’re working with generative AI and LLMs, or predictive ML models, Fiddler helps you track performance, drift, accuracy, safety, and other LLM/ML metrics, identify issues, and resolve them quickly.
In this product tour, see how to build custom dashboards, visualize model performance, detect prediction drift, and dive into root cause analysis for issues like data integrity problems or feature drift. Plus, discover how to track critical signals like hallucination detection and jailbreak attempts in generative AI. Get alerts directly in Slack, Teams, or PagerDuty, and take action faster. Perfect for model developers, app engineers, trust and safety teams and business stakeholders with rich capabilities that are actionable and enable them to deliver high performance AI, reduce costs, and be responsible with governance.
00:00 Fiddler AI Observability Platform
00:33 Custom Dashboards
01:20 Analyzing Data Integrity Issues
02:10 UMAP Visualization
03:00 Alerts
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✦ Get a customized demo: bit.ly/fiddler-demo ✦
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