# [Live session] Choosing safer LLMs: From LLM benchmarks to your production agents 🚀

**July 21, 2026 | 5PM CEST**  
1 Days : 00 Hours : 26 Minutes : 28 Seconds

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📕 LLM Security: 50+ Adversarial Probes you need to know.  
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# Happiness Omale

## Testing Machine Learning Classification models for fraud detection

This article explains how Giskard open-source ML framework can be used for testing ML models and applied to fraud detection. It explores the components of Giskard: the Python library, its user-friendly interface, its installation process, and practical implementation for banknote authentication. The article provides step-by-step guide, code snippets, and leverages the banknote authentication dataset to develop an accurate ML model.

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[Happiness Omale](/content/knowledge/testing-machine-learning-classification-models/index.html)

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