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 ...

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.

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 ...

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.