#reprogramming framework

Time-LLM reprograms large language models to perform time series forecasting by converting time series data into text representations and using domain-specific prompts. This approach supports various LLM backbones including Llama-7B, GPT-2, and BERT. Notably, it has been integrated into the NeuralForecast platform and applied in renewable energy forecasting.