Text is the main modality used to train frontier models and is more likely to become a key bottleneck, as other modalities are easier to generate (in the case of images and video) or have not ...

Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them.

A recent report commissioned by the European Parliament’s legal affairs committee concludes that the much discussed text and ...

Summary of Training Data: Training data is the backbone of AI and machine learning systems. The data’s quality, diversity, and volume directly affect the model’s ability to learn and generalize.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

EleutherAI, an AI research organization, has released what it's claiming is one of the largest collections of licensed and open-domain text for training AI models.

Now that you've learned how to stop ChatGPT from using your data for training purposes, here's a few more AI-related tutorials you may find useful.

Policies to compel generative AI companies to disclose training data have gained ground in the EU, U.S. and UK Disclosure requirements might encourage licensing, lawsuits and developer caution ...

The commercial value of training data Training data refers to the text, images, audio, and other information fed into algorithms to develop and train AI models.