Summary
A seasoned QA professional is struggling to apply traditional testing methodologies to LLM-based AI agents in production due to their inherent unpredictability. Unlike deterministic software, AI agents can produce varied reasoning chains and tool selections from the same input, even with temperature set to zero, making rigorous testing challenging. This highlights a fundamental problem in ensuring quality and reliability for non-deterministic AI systems.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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