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• Intro to ML Monitoring; Data Drift, Quality, Bias and Explainability

Data Drift, Quality, Bias and Explainability

Abstract

Workshop Links:

• Free WhyLabs Signup: https://whylabs.ai/free

• Notebook: https://bit.ly/ml-monitor-colab

• whylogs github (give us a star!) https://github.com/whylabs/whylogs/

• Join The AI Slack group: https://bit.ly/r2ai-slack

LLM monitoring: https://github.com/whylabs/langkit

If you want to build reliable pipelines, trustworthy data, and responsible AI applications, you need to validate and monitor your data & ML models!

In this workshop we’ll cover how to ensure model reliability and performance to implement your own AI observability solution from start to finish.