Continual learning for large language models: A survey

T Wu, L Luo, YF Li, S Pan, TT Vu, G Haffari - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) are not amenable to frequent re-training, due to high
training costs arising from their massive scale. However, updates are necessary to endow …

Learning Update in Software-Defined Robots via Over-The-Air

양세열, 백한비, 김성우 - 대한전자공학회 학술대회, 2024 - dbpia.co.kr
The emergence of robots utilizing large-scale LLM (Large Language Models) has sparked
interest in sLM (small Language Models) and sLLM (smaller Large Language Models) …