Datasets

Q: How does bias get into these datasets, and the way can...

memory In machine learning, a test-split is used to see if a trained model has learned to unravel problems which might be similar, but not equivalent to the fabric it was trained on.So if a...

A recent paper from LG AI Research suggests that supposedly ‘open' datasets used for training AI models could also be offering a false sense of security – finding that almost 4 out of 5...

R code to extract data from unique datasets and mix them in a single harmonized dataset ready for seamless evaluationMy academic research overwhelmingly includes identifying datasets for health research, harmonizing them, and mixing (pooling)...

If 2022 marked the moment when generative AI’s disruptive potential first captured wide public attention, 2024 has been the yr when questions on the legality of its underlying data have taken center stage for...

Techniques to handle imbalanced datasets, examples, and Python snippetsThe model’s seemingly strong performance is driven by the bulk class 0 in its goal variable. Because of the evident imbalance between the bulk and minority...

As a way to train more powerful large language models, researchers use...

A Dutch copyright watchdog has said it has stopped the distribution of a dataset used to coach artificial intelligence (AI). The group, which has been cracking down on piracy for greater than twenty years,...