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Generative models are attracting interest due to their ability to deliver human-like intelligence. However, questions arise: can we rely on the outputs generated by generative models?
In this paper, we explore how ‘grounding’ can address the inherent issues of hallucinations in generative models to deliver trustworthy outcomes rooted in your data.
