What is Grounding and Hallucination in AI?

This blog explains how AI systems can generate incorrect information, and how a technique called grounding can help prevent this. AI systems are trained on large amounts of data, and if this data is not clean or accurate, the AI system can produce false information. 



Grounding helps AI systems connect their knowledge to real-world examples, which makes their responses more accurate and reliable. There are different grounding methods, such as using high-quality data, providing clear instructions, and incorporating feedback mechanisms. Overall, grounding is essential for making AI systems more trustworthy and reliable.

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