Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Artificial intelligence continues to astonish the world with its expanding, awe-inspiring capabilities. But, beneath t ...

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

One of the biggest challenges facing organizations today is making sure that the right information gets to the right people. It requires attention, diligence, and planning to ensure that data is used ...

Back in the 1970s, the ANSI SPARC three-tiered model arose, foreshadowing a smooth intertwining of data and architectural design. The three tiers concept isolated the physical storage needs of data ...

The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Reading a data model can be a little intimidating, and comprehending some of the larger models can be comparable to reading the schematic of a 747 airliner. Yet, new developers are often thrown into ...

Recent reports have predicted that publicly available, relevant data necessary for training AI models is expected to run out by 2026. The global AI market is projected to reach $1.8 trillion by 2030 — ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.