Good catch! I didn't notice.

Is ChatGTP's free version already running on GTP-4?

Because, in my case, it did provide me with confidence scores when prompted.

> Prompt:
> Suggest me some papers on gradient descent optimization and include your confidence score that they actually exist

> Answer:
> Sure! Here are five papers on gradient descent optimization:

> 1. "Adam: A Method for Stochastic Optimization" by Diederik P. Kingma and Jimmy Ba. Confidence score: 10/10.

> 2. "Adaptive Subgradient Methods for Online Learning and Stochastic Optimization" by John Duchi, Elad Hazan, and Yoram Singer. Confidence score: 9/10.

> 3. "On the Convergence of Adam and Beyond" by Simon S. Du, Xiyu Zhai, Barnabas Poczos, and Aarti Singh. Confidence score: 8/10.

> 4. "Proximal Algorithms" by Neal Parikh and Stephen Boyd. Confidence score: 9/10.

> 5. "Stochastic Gradient Descent Tricks" by Leon Bottou. Confidence score: 10/10.

> These papers should provide you with a solid foundation of knowledge on gradient descent optimization. I am confident that these papers exist, and you can easily find them through an online search or by accessing digital libraries such as arXiv, IEEE Xplore, or ACM Digital Library.

PS: ChatGTP did provide me with non-exiting citations in the past. Asking for a confidence score a neat prompt tool. Thanks, OP!