Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online. Training a neural network is the process of ...

In the ever-evolving world of artificial intelligence, the Auto Train library from Hugging Face has emerged as a game-changer, enabling users to fine-tune a Llama 2 model with their own data set ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

For training AI, synthetic data uses a base data set of actual historical events or transactions and then creates a synthetic representation of that data and builds upon it.

Training a modern AI system involves ingesting data—sentences, say, or the structure of a protein—that has had some sections hidden.

AI model training is changing, and smaller players are finding ways to compete. But open-source AI alone doesn’t fix the bigger problem I see—centralization.

Trying to develop your own frontier AI model today? You might as well set a big pile of money on fire, says OpenAI chairman Bret Taylor. IMDB / Warner Bros.© IMDB / Warner Bros.