The article details the process of creating uncensored AI models, arguing for their necessity due to cultural diversity, valid use cases, ownership rights, and composability. It provides a step-by-step guide on uncensoring the WizardLM model, highlighting the importance of removing refusals and biased answers from the dataset. The author emphasizes the user’s responsibility in handling the output of these models.
Read more at Cognitive Computations…
