Testing AI Models for Hallucinations in Production
from Software Testing with Fexingo: QA, Automation, and Reliable Software Engineering Hosted by Fexingo
Most teams treat large language model outputs like static code, but hallucinations are probabilistic, not deterministic. We break down why traditional unit tests fail against generative AI and introduce the concept of semantic drift evaluation using embedding vectors to catch subtle factual errors before they hit users. This episode explores how to build a guardrail system that measures consistency rather than just syntax, featuring insights from recent production incidents where models confidently invented legal precedents. #FexingoBusiness #BusinessPodcast #SoftwareEngineering #ArtificialIntelligence #LargeLanguageModels #GenerativeAI #QualityAssurance #MachineLearning #HallucinationDetection #SemanticDrift #EmbeddingVectors #ProductionMonitoring #TechStrategy #DevOps #DataScience #ModelEvaluation #RiskManagement #EnterpriseSoftware Keep every episode free: buymeacoffee.com/fexingo
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