LLM-APP-DESIGN5 MIN READ
Choosing Evidence Depth for Generated Answers
Decide how much evidence an LLM answer needs
The output could affect a customer, financial, legal, or employment decision. What comes first? Sources are uneven. Where should evidence appear? The answer may be incomplete. What fallback preserves progress? Now you try: a roadmap assistant ranks customer requests from messy call notes. First boundary?
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