Detecting confabulations in large language models using new method. #AIbias

A recent study has proposed a new method to detect “confabulations” hallucinated by large language models. Confabulations are false or distorted memories that may be generated by these models during language generation tasks. The researchers developed a technique that involves comparing the generated text with a pre-trained language model to identify confabulations. By analyzing the differences between the generated text and the model’s predictions, the researchers were able to detect instances of confabulations with high accuracy. This method could help improve the reliability and trustworthiness of large language models by flagging potentially inaccurate or misleading information. The researchers hope that their approach will contribute to the development of more robust and ethical language models in the future.

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Source link: https://towardsdatascience.com/a-new-method-to-detect-confabulations-hallucinated-by-large-language-models-19444475fc7e