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 ...

The model consists of multiple experts with lateral connections. For each new task, a new expert is initialized and trained on the current task dataset. Then the new expert is compared with previous ...

Artificial intelligence has learned to talk, draw and code, but it still struggles with something children master in kindergarten: learning from mistakes without forgetting what it already knows. The ...

A new study from the University of Illinois Urbana-Champaign suggests that the loss of skills often seen when fine-tuning large AI models may not be true forgetting but a temporary bias in their ...