Choosing LLMs for High-Stakes Systems: Why 73% of Evaluations Fail and How to Fix It

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Why CTOs and ML Leads Keep Picking Unsuitable Models for High-Stakes Systems Industry data shows CTOs, engineering leads, and ML engineers evaluating which models to deploy in production systems where hallucinations have real consequences