The Orchestration Framework improves reliability and transparency in language models, suggesting better handling of hallucinations.
Large language models (LLMs) are powerful but prone to hallucinations, confidently generating false or unverifiable information. The Orchestration Framework (TOF) introduces three mechanisms: Bridge Summaries, Admin Notes, and Sentinel Flags that help preserve context, reinject validated knowledge, and flag uncertainty in AI outputs. TOF provides a structured transparency layer for multi-turn reasoning, improving reliability while preserving creativity and human agency.
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Lauren Morrell (2025) studied this question.
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