Category: Hallucinations in AI
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Part 2: The Role of RAG in Mitigating Hallucinations: Promise and Limitations
Accuracy: Can Retrieval-Augmented Generation (RAG) Truly Tame AI Hallucinations? In the first part of this series, we explored what are hallucinations in Language Models (LLMs), unpacking their nature, origin, and the challenges they pose to businesses. To summarise, hallucinations are erroneous outputs generated by Language Models (LLMs) when faced with insufficient information, leading to inaccuracies…
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Part 1: Understanding Hallucinations in AI: An Introduction to the Challenge
A Deep Dive into AI Hallucinations and Their Fictional Realities Merriam-Webster defines hallucination as “a sensory perception that occurs in the absence of an actual external stimulus and usually arises from neurological disturbance or in response to drugs.” Even though the AI Models (text or vision) are not on drugs, their hallucinations have also made…