Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

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.

Now, data models are more likely 3-D, and are extremely effective and useful to the development of business and IT strategy. Also see: Top Data Visualization Tools What Are the Types of Data Models?

The world of data is expanding at an astonishing rate, with the total amount of data expected to reach 150 Zetabytes by 2025 and growing at an annual rate of 23%. The introduction of big data and ...

“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.

The trouble is, the types of data typically used for training language models may be used up in the near future—as early as 2026, according to a paper by researchers from Epoch, an AI research ...

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 ...

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.

Image: IBM IBM InfoSphere Data Architect is a cross-platform application that enables users to visually design, create, discover, model, relate, standardize and maintain databases.

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