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.

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

Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

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.

Meta open-sources multisensory AI model that combines six types of data The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but ...

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

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

Large language models are a type of software that can help users perform language-based tasks. Learn more about these tools inside.