Computing US 20,250,390,517 A1 Under examination

Digital content generation with in-prompt hallucination management for conversational agent

This invention describes a method for a conversational AI system where a machine learning model is given a prompt that includes instructions and the system's current state. The model is then directed to generate a new system state and, importantly, an explanation of its reasoning for reaching that state. This reasoning is used to produce the final output, which includes options for the user to interact with.

Why it matters: Filed in 2024, the rapid advancements in prompt engineering and large language model capabilities mean that instructing models to reliably generate explicit reasoning and manage their own outputs, as described, is significantly more feasible and effective today.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedMachine learning models, complex software logic

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