Implicit biases in pre-trained models not fully mitigated
7/10 HighLarge language models trained on internet-scraped data inherit human biases (gender, stereotypes, selection bias). While Hugging Face provides Model Cards to document these issues, the warnings do not fully address or eliminate the underlying biases, leaving developers to handle bias mitigation themselves.
Collection History
Query: “What are the most common pain points with Hugging Face for developers in 2025?”4/4/2026
Large language models are trained with vast volumes of data, often scraped from the internet, that could contain some of these biases... However, these measures may not be enough since they warn users but do not fully tackle them.
Created: 4/4/2026Updated: 4/4/2026