Скачать или смотреть Why AI Needs QA, Validation & Monitoring (Short)

AI systems aren’t perfect — they make mistakes, hallucinate, and degrade over time.
If you skip validation, QA, and monitoring, your AI project is almost guaranteed to fail.

In this short, I explain why testing is non-negotiable for business AI:
✅ Why large language models hallucinate and how to catch errors
✅ The role of benchmarks, baselines, and model drift monitoring
✅ Why AI QA is different from traditional software testing
✅ How proper validation protects revenue, trust, and decision-making

The companies that win with AI will treat it like an engineering system, not a magic tool.

Full video here:    • The 3 Most Common Mistakes Companies Make ...  

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