The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

Evaluating the genetic correlations across our phenotypes is of essential importance for understanding disease etiology and other potential causality. A new method—published in the journal Nature ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

The software in an AI system that does processing for the user. A peculiar name for sure; however, the inference term dates back to very early AI systems and it has not gone away. Also called "AI ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

The most consequential question in AI today is not which model is smartest. It is where the data lives, and whether the ...

At the beginning of 2021, I posted a piece on this blog asking if any readers wanted to develop their critical thinking as a kind of New Year’s resolution. In light of the positive feedback I received ...