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https://github.com/KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
https://github.com/KimMeen/Time-LLM
cross-modal-learning cross-modality deep-learning language-model large-language-models machine-learning multimodal-deep-learning multimodal-time-series prompt-tuning time-series time-series-analysis time-series-forecast time-series-forecasting
Last synced: 3 days ago
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[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
- Host: GitHub
- URL: https://github.com/KimMeen/Time-LLM
- Owner: KimMeen
- License: apache-2.0
- Created: 2024-01-20T01:26:30.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-29T07:24:56.000Z (2 months ago)
- Last Synced: 2024-10-29T15:27:53.044Z (10 days ago)
- Topics: cross-modal-learning, cross-modality, deep-learning, language-model, large-language-models, machine-learning, multimodal-deep-learning, multimodal-time-series, prompt-tuning, time-series, time-series-analysis, time-series-forecast, time-series-forecasting
- Language: Python
- Homepage: https://arxiv.org/abs/2310.01728
- Size: 1.06 MB
- Stars: 1,378
- Watchers: 16
- Forks: 240
- Open Issues: 27
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- StarryDivineSky - KimMeen/Time-LLM - LLM: 通过重新编程大型语言模型进行时间序列预测。Time-LLM 是一种重编程框架,用于重新用于LLMs一般时间序列预测,同时保持骨干语言模型不变。值得注意的是,我们发现时间序列分析(例如,预测)可以被看作是另一个“语言任务”,可以由现成LLM的。时间-LLM包括两个关键组成部分:(1)将输入时间序列重新编程为对用户LLM来说更自然的文本原型表示,以及(2)通过声明性提示(例如,领域专家知识和任务指令)增强输入上下文以指导LLM推理。(2024 年 3 月):Time-LLM 已升级为通用框架,用于将各种语言模型重新用于时间序列预测。它现在默认支持 Llama-7B,并包括与另外两个较小的 PLM(GPT-2 和 BERT)的兼容性。只需调整 --llm_model 和 --llm_dim 即可切换主干。Time-LLM 已被包含在 NeuralForecast 中。时间LLM 已被 XiMou Optimization Technology Co., Ltd. (XMO) 用于太阳能、风能和天气预报。 (时间序列 / 网络服务_其他)