A new phenomenon called "model collapse" is threatening the future of AI as models trained on AI-generated data begin to lose touch with reality.

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

As business leaders adopt generative AI they must decide whether to build their AI capabilities using open-source or rely on proprietary, closed-source alternatives.

AI is all about data. Reams and reams of data are needed to train algorithms to do what we want, and what goes into the AI models determines what comes out. But here’s the problem: AI developers ...

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.

Compare AI Models is an online platform that provides a structured way to compare artificial intelligence models across multiple benchmarks, aggregating data from various sources, including ...

Data mining, sometimes called knowledge discovery, is the process of sifting large volumes of data for correlations, patterns, and trends.