논문

[논문리뷰] LLM4TS : Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs

[논문 링크] https://arxiv.org/abs/2308.08469 LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Multivariate time-series forecasting is vital in various domains, e.g., economic planning and weather prediction. Deep train-from-scratch models have exhibited effective performance yet require large amounts of data, which limits real-world applicability. arxiv.org 시계열 데이터를 LLM으로 ..