Adel Bibi

A method for continuous model evaluation in machine learning to prevent overfitting.

This article explores how training data affects model performance in multimodal systems.

An overview of prompting and prefix-tuning in transformer models.

DietCL effectively combines labeled and unlabeled data for better learning.

Exploring the responsible use of generative AI technology in various fields.

Examining the risks and opportunities of open-source generative AI technology.

Examining how recurrent models can approximate functions based on prompts.

Examining the risks and safety measures in fine-tuning language models.

A new approach streamlines safety and helpfulness in language model training.