Tips on Evaluating the Reliability of AI Models in Real-world Scenarios
Thursday, 11 July 2024, 18:45
Enhancing AI Model Evaluation Techniques
A new technique has been developed to improve the accuracy of AI model predictions by enhancing uncertainty quantifications.
Decision-making in Real-world Applications
This advancement helps practitioners assess the trustworthiness of AI models when deployed in real-world scenarios.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.