There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

Three major types of language models have emerged as dominant: large, fine-tuned, and edge. They differ in key, important capabilities -- and limitations.

Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

The advent of large language models in text, search and image processing has undeniably revolutionized the landscape of unstructured data.

Researchers may have to get creative to make training data stretch further. Large language models are one of the hottest areas of AI research right now, with companies racing to release programs ...