AI Quality
The Enterprise Guide to LLM Safety
David Chen| Head of AI Research
January 15, 2025
5 min read
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Traditional software testing relies on deterministic outputs: given input X, expect output Y. Generative AI models are probabilistic, meaning the same input can yield different outputs. This fundamental shift requires a new approach to quality assurance.
The Three Pillars of AI Quality
- Accuracy & Factuality
- Safety & Alignment
- Security & Robustness
To ensure enterprise-grade reliability, organizations must move beyond simple "vibes-based" evaluation and implement rigorous, automated testing pipelines.
"You cannot manage what you cannot measure. AI validation is the new unit testing."
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