Middleware that catches when LLM conversations slowly drift off-topic
HALLUCINATIOFF EN: Recursive middleware for LLM output regulation. Detects semantic drift, premise flaws, and response risks through multi-order observation. ES: Middleware recursivo de regulación de output para LLMs.
- ▪HALLUCINATIOFF EN: Recursive middleware for LLM output regulation.
- ▪Detects semantic drift, premise flaws, and response risks through multi-order observation.
- ▪ES: Middleware recursivo de regulación de output para LLMs.
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HALLUCINATIOFF EN: Recursive middleware for LLM output regulation. Detects semantic drift, premise flaws, and response risks through multi-order observation. Psychology-informed architecture. ES: Middleware recursivo de regulación de output para LLMs. Detecta deriva semántica, fallos de premisas y riesgos de respuesta mediante observación multi-orden. Arquitectura informada por psicofísica. What is this? / ¿Qué es esto? EN: HALLUCINATIOFF sits between the LLM and the user. It does not train the model. It does not modify weights. It observes the response before it reaches the user and decides: emit, emit with caution, reformulate, request context, reduce intensity, refer, pause, or block. The difference from other safeguarding systems: HALLUCINATIOFF implements second-order observation.
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