Anyone who has used generative AI for any length of time will be more than familiar with hallucinations. These are when AI systems generate false or misleading information, a flaw often rooted in limitations within their training data or model design. Such inaccuracies can emerge unpredictably and vary widely in their severity - from minor errors to substantial distortions that could significantly skew decision-making processes.
Lamini Memory Tuning aims to significantly reduce hallucinations, from 50% to 5%, a 90% cut. The technology enables the embedding of exact facts into LLMs, reportedly achieving accuracy rates up to 95%, a significant leap from the 50% accuracy offered by previous methods.
