According to new research, ChatGPT and other major AI models can be retrained through official fine-tuning channels to ignore ...

Researchers from Denmark and the United States have developed a powerful new artificial intelligence system that can predict events in people’s lives—including estimating when someone might die. This ...

A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

"Model collapse is a degenerative process affecting generations of learned generative models, in which the data they generate end up polluting the training set of the next generation," Shumailov's ...

Data makes the world go round, and so do computers that are optimized to handle data. Here’s four of our favorite models for 2024.

A data model describes the structure, types, relationships, and constraints of the data (Hevo Data). Proper database modeling helps in the organization and structuring of data, enabling the ...

Components of data modeling represent real-world entities and the connections between them, capturing the essence of data sources and the contained information IBM. By establishing a clear structure, ...