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Preventing Hallucinations in Customer-Facing AI Avatars: A Practical Architecture
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If you're building (or evaluating) an AI avatar for customer-facing use, the hardest engineering problem isn't voice synthesis or rendering โ it's keeping the LLM from confidently making things up. Here's a practical breakdown of how to scope one properly. The Core Problem A raw LLM call with a system prompt like "you are a helpful assistant for [business]" will happily generate plausible-sounding, fluent, and sometimes completely wrong answers aboutโฆ
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