The uncensored models provide more direct and detailed responses, while the censored models are more cautious and avoid certain topics. For instance, the uncensored model provides a recipe for dangerously spicy mayo, while the censored model refuses to do so. The article concludes with a disclaimer about the risks of using uncensored models and encourages readers to try running uncensored models themselves using Ollama.
Key takeaways:
- In May 2023, Eric Hartford, a machine learning engineer, authored a blog post about the merits of uncensored models and how they are created.
- The blog post provides example comparisons running Llama 2 uncensored model vs its censored model, with several uncensored models available for use.
- Comparisons are made on various topics including movies, cooking, religious literature, medical information, and general information, showing the differences in responses between the censored and uncensored models.
- Uncensored models carry their own risk and should be used accordingly, and they can be run using Ollama.