Kyeonghyun Kim

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models

Large language models (LLMs) are renowned for their extensive linguistic knowledge and strong generalization capabilities, but their high computational demands make them unsuitable for resource-constrained environments. In contrast, small language models (SLMs) are computationally efficient but ofte…