**Why do AI responses change every time?**
Stochastic sampling introduces randomness, making LLM outputs unpredictable even with identical inputs.
Technical reality: Models use temperature settings and random sampling to generate diverse responses. This prevents repetitive outputs but creates consistency problems for production use. OpenAI's research shows 30-40% variation in responses to identical prompts.
Business impact documented by Gartner (2024):
- Customer service inconsistency
- Legal liability from conflicting advice
- Quality control challenges
- Documentation difficulties
- Compliance risks
Mitigation approaches: Lower temperature settings (more deterministic), prompt engineering for consistency, human review for critical applications, versioning and logging all outputs.
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