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I saw you added retry logic with feedback to the LLM when it hallucinates hotel names. Can you walk me through how you decided on this retry-based approach, and what happens if the model keeps failing?
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Implemented a clean retry loop with hallucination detection against a known hotels set. Good use of structured feedback to guide the LLM on subsequent attempts. Capped retries with a fallback log. Shows awareness of failure modes in production.
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