Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

In addition, the model leverages a uniquely developed data-augmentation technique to generate responses optimized for user-specific applications.

In well logging interpretation, researchers incorporate logging response functions that incorporate domain knowledge into the loss function of data-driven machine learning models, which are used ...

Using supervised fine-tuning (SFT) to introduce even a small amount of relevant data to the training set can often lead to strong improvements in this kind of "out of domain" model performance.