Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Part 2 of MindShift's Guide to Games and Learning. Those who still think of content as the driving force of education may not be ready for game-based learning. What do we mean by “content”? In this ...