Tackling Toxic Content

Iz and Pradeep discuss strategies to prevent models from generating toxic content, including filtering out a significant portion of toxic data during pre-training and using control tokens during inference to guide the model towards non-toxic outputs. The conversation highlights the challenges in aligning models to avoid toxic responses and the need for continued research in this area.