When an AI model is trained on new information, it’s not uncommon for it to forget most of what it already knows. A discovery ...

They consume extremely little power and behave similarly to brain cells: so-called memristors. Researchers from Jülich, led by Ilia Valov, have now introduced novel memristive components in Nature ...

Artificial intelligence systems have long struggled with a limitation known as catastrophic forgetting, where learning new tasks causes models to lose previously acquired knowledge. This issue has ...

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and simplify model management. A new fine-tuning technique aims to solve ...

What if artificial intelligence could evolve as seamlessly as humans, learning from every interaction without forgetting what it already knows? Prompt Engineering takes a closer look at how the ...

Our brains are constantly learning. That new sandwich deli rocks. That gas station? Better avoid it in the future. Memories like these physically rewire connections in the brain region that supports ...

Memristors consume extremely little power and behave similarly to brain cells. Researchers have now introduced novel memristive that offer significant advantages: they are more robust, function across ...