Summary:
- This article discusses fine-tuning a machine learning model called "SMOLvLM" to improve its alignment with human preferences.
- The process involves using "direct preference optimization" to train the model to generate outputs that are more aligned with what humans would prefer.
- This technique can be used to make AI systems more reliable and trustworthy by ensuring they produce results that are better aligned with human values and expectations.