CoSupport AI
What is Evidently AI?
Evidently AI delivers a robust AI observability platform built on top of their trusted open-source ML monitoring library. With over 100 pre-built metrics and extensive customization options, it enables teams to gain deep visibility into AI-powered applications, from chatbots and RAGs to complex ML models.
The platform provides customizable dashboards for performance tracking, continuous testing capabilities, and in-depth debugging tools. Users can monitor data drift, assess data quality, and track model performance across the entire AI lifecycle while easily sharing findings with team members.
Features
- Customizable Dashboards: Visual performance tracking and team collaboration
- Continuous Testing: Automated evaluation of model outputs and data quality
- Data Drift Detection: Early warning system for model decay
- LLM Evaluations: Testing for accuracy, safety, and output quality
- Performance Monitoring: Comprehensive tracking of ML model metrics
- Data Quality Assessment: Automated profiling and issue detection
- In-depth Debugging: Root cause analysis of quality issues
- Custom Metrics: Support for custom evaluation criteria and rules
Use Cases
- LLM and chatbot performance monitoring
- Production ML model evaluation
- Data quality assessment
- Model drift detection
- AI system debugging
- Continuous testing in CI/CD pipelines
- Team collaboration on AI quality
- Model performance validation
FAQs
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How do I send data to Evidently Cloud?
You can either directly upload raw data/send traces of your AI system, or run evaluations locally using the Python SDK and upload only the results as JSON snapshots. -
What types of predictive ML tasks are supported?
Evidently supports all types of predictive ML tasks, with dedicated presets for classification, regression, recommendation systems, and ranking, working with text, tabular data, and embeddings. -
What happens if I go over the usage limit?
On the free tier, you'll need to upgrade to continue using the tool. On paid tiers, you'll be billed according to your pricing plan.
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Evidently AI Uptime Monitor
Average Uptime
100%
Average Response Time
197.8 ms
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