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.

What Are the Types of Data Models? The ANSI/X3/SPARC Standards Planning and Requirements Committee described a three-schema concept, which was first introduced in 1975.

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 ...

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

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

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given ...

Meta’s latest AI model is ImageBind: a multimodal model that combines six types of data. It’s just a research project for now, but models like this have enabled the current AI boom.

“Our ‘mini’ model outperforms small open-source models like [Meta’s] Llama 3.1 8B and achieves more than 1,000 tokens per second.” “Tokens” is industry parlance for bits of raw data.