Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

In-context learning (ICL), on the other hand, doesn’t change the model’s underlying parameters. Instead, it guides the LLM by providing examples of the desired task directly within the input ...

It is essential to guide the students along an efficient learning path to maximize their learning performance according to the current situation. In this paper, an active learning support system ...

In this paper, a learning status management system in an intelligent classroom is proposed. Several types of information about students were detected and collected by both sensor technology and image ...

In-context learning, also known as few-shot learning or prompt engineering, is a technique where an LLM is given examples or instructions within the input prompt to guide its response.

An advanced continual learning system that combines multiple LLM backends with an External Continual Learner (ECL) for improved classification and adaptation capabilities. The development of this ...

Integrating workflows like facilitator management and scheduling into a single system can be an effective way to streamline your L&D processes.

Since imagery empowers text and concepts, a few Venn Diagrams can be baked into emergency management strategic communication plans, be taught to the entire organizational team (not just strategic ...