In order to ensure alignment with the AI model’s original training, the team at Anthropic regularly monitors and evaluates ...

Choosing an appropriate process-mining tool does not end with assessing the features for analytics; rather, a deeper dive is ...

The framework begins by establishing a standardized process to score suppliers based on seven risk indicators: hazard risk, ...

The AI agent hype has reached a new crescendo, but that doesn't bring us closer to successful projects. Enter AI evaluation - ...

Digitize your offline data collection. Create your Forms online with Tangerine Editor, conduct them offline with the Tangerine Android App. All results you collect can be exported as a CSV file, easy ...

Traditional fairness evaluation methods primarily focus on dataset-level biases, overlooking biases arising from model decision-making processes ... demographic parity and equal opportunity fairness ...

from sklearn.metrics import mean_squared ... This ensures that every prompt or model update maintains or improves performance before going live. The launch of the Evals API marks a shift toward robust ...

Ethics and dissemination No ethical approval is needed for this study. Results of the model validation and future economic evaluation studies will be submitted to journals. The user interface of the ...

This section introduces the machine learning methods used in this study for ozone concentration prediction and the model evaluation metrics. The machine learning methods compared in this study include ...