Most general purpose large language models (LLM) are trained with a wide range of generic data on the internet. They often lack domain-specific knowledge, which makes it challenging to generate accurate or relevant responses in specialized fields. They also lack the ability to process new or technical terms, leading to misunderstandings or incorrect information.An “AI hallucination” is a term used to indicate that an AI model has produced information that’s either false or misleading, but is presented as factual. This is a direct result of the model training goal of always predicting the next
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