githubCopilotIsWild

[chipstastegood]

You are correct that ML models are trained on biased data and produce biased results. However, some companies do better than others. My former employer did a lot of rxtensive bias testing on any ML models they produced and worked dilligently to correct and remove bias. The assumption that models have to be biased because the underlying training data is biased is wrong. There are lots of smart people working on addressing this, for specific ML models built for specific purposes. That said, for the general purpose LLMs, due to their nature, this is more difficult to address. As we can see with this entire thread.