What are the considerations for using GPT in safety-critical or high-stakes applications?
When considering using GPT in safety-critical or high-stakes applications, factors such as data quality, model robustness, interpretability, and ethical considerations need to be taken into account. It is crucial to ensure that the data used to train the model is accurate and representative of the target domain. Additionally, the model should be rigorously tested for reliability and its limitations understood. Ethical concerns surrounding bias and unintended consequences must also be addressed.
March 18, 2024