Imagine asking a language model a straightforward question about climate change, expecting a concise and factual answer backed by scientific data. But instead, the model goes off the rails, spouting blatantly incorrect or nonsensical information. Welcome to the enigmatic and increasingly common issue known as Large Language Model (LLM) hallucinations. This phenomenon is as intriguing as it is unsettling, a curious blend of technological prowess and fallibility. You’re not alone if you’ve encountered this bewildering experience. In fact, it’s an issue that experts are becoming increasingly concerned about, especially as LLMs are deployed in more critical applications. As we grow…...
From Facts to Fallacies: Deciphering LLM Hallucinations
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