Open Internet by MindsNet

Aligning AI Training Data to Reduce Harmful Content

The current challenge is to effectively train AI models without exposing them to undesirable data such as violence, deception, or lying. Most controllability methods are applied post-training, which may not be optimal. The goal is to proactively curate training data to improve AI alignment and controllability.

Computing & Technology, Computer Science, Machine Learning