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What is hallucination in LLMs, and how can it be controlled?
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Answer Posted / Pooja Meena
"Hallucination in Language Models (LLMs) refers to the phenomenon where the model generates responses that are plausible but not supported by the input. This can occur when the model extrapolates beyond its training data or makes incorrect assumptions about the context. Techniques for controlling hallucination include fine-tuning the model on a specific task, using adversarial examples to train the model to be more robust against misleading inputs, and implementing mechanisms for detecting and correcting erroneous outputs."n
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