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dhoelzgen | 2 years ago
The core idea is to use LLMs to extract logic predicates from human input. These are then used to reliably derive additional information by using answer-set programming based on expert knowledge and rules. In addition, inserting only known facts back into the prompt removes the need for providing the conversation history, thus mitigating hallucinations during more extended conversations.
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