Positive triggering method reduces nationality bias in large text generators

Large language models that use internet files to learn how to respond to user prompts about different countries worldwide repeat biased ideas – both positive and negative – found online. Using positive trigger words, like “hopeful” and “hardworking,” when entering prompts can retrain the models and result in less biased responses