How to Test AI Without Breaking Trust
from Software Testing with Fexingo: QA, Automation, and Reliable Software Engineering Hosted by Fexingo
Most teams treat AI model testing like traditional QA, but hallucinations and drift require a different playbook. Lucas and Luna explore the specific challenge of validating large language models in production environments. They discuss why standard unit tests fail when dealing with probabilistic outputs and examine real-world cases where companies missed critical safety guardrails. The conversation drills into prompt injection risks, output validation strategies, and how to measure reliability when there is no single correct answer. This episode offers concrete steps for building robust evaluation frameworks that protect user trust while allowing innovation. #AIAutomation #LLMTesting #QualityAssurance #SoftwareEngineering #MachineLearningOps #PromptInjection #ModelDrift #GenerativeAI #TechSafety #FexingoBusiness #BusinessPodcast #LucasAndLuna #DevOps #AIethics #ProductionReadiness #TestAutomation #DataScience #RiskManagement Keep every episode free: buymeacoffee.com/fexingo
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