Organizations that want to harness generative artificial intelligence (AI) more effectively should use their own data to train AI systems, using foundation models as a starting point. Doing so can ...

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 ...

2. Not Using A Diverse Data Set One key mistake organizations make in training AI models is failing to use a diverse set of data. This can lead to biased results. To avoid this, organizations ...

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.

When you set out to create a specialized AI model, the first step is to break down your challenge into smaller, manageable pieces.

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

OpenAI is launching a new program to encourage organizations to contribute data -- including text and images -- to train future AI models.

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