Let’s talk about a couple of recent horror stories. Late last year, a Chevrolet dealership deployed a chatbot powered by a large language model (LLM) on their homepage. This LLM, trained with detailed specifications of Chevrolet vehicles, was intended to respond only to questions about Chevrolet cars. However, users quickly found a way to circumvent these limitations: through a series of leading questions that fell increasingly outside the intended range of the chatbot’s answers, they … More
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