Making hallucinations go away is more than a simple programming problem. Guru Sethupathy, CEO of FairNow, which makes AI governance software, told PYMNTS that tackling hallucinations in LLMs is particularly challenging because these systems are designed to detect patterns and correlations in vast amounts of digital text. While they excel at mimicking human language patterns, they do not understand true versus false statements.
“Users can enhance model reliability by instructing it not to respond when it lacks confidence in an answer,” he added. “Additionally, ‘feeding’ the model examples of well-constructed question-answer pairs can guide it on how to respond more accurately.
“Finally, refining the quality of training data and integrating systematic human feedback can ‘educate’ the AI, much like teaching a student, guiding it towards more accurate and reliable outputs.”
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