Topic: gpt 4

Safe AI development: Integrating explainability and monitoring from the start

As artificial intelligence advances at breakneck speed, using it safely while also increasing its workload is a critical concern. Traditional methods of training safe AI have focused on filtering training data or fine-tuning models post-training to mitigate risks. However, in late May, Anthropic created a detailed map of the inner workings of its Claude 3 … continue reading Protection Status