ngruver/llmtime

• highabout#1

  Add a concise 'About' description

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  LLMTime is a method for zero-shot time series forecasting using large language models (LLMs) by encoding numbers as text and sampling extrapolations as text completions.

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• hightopics#2

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  ["llm", "large-language-models", "time-series", "forecasting", "zero-shot", "machine-learning", "neurips-2023"]

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• mediumreadme#3

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  # Large Language Models Are Zero Shot Time Series Forecasters
  
  This repository contains the code for the paper

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  # Large Language Models Are Zero Shot Time Series Forecasters
  
  LLMTime is a novel method for zero-shot time series forecasting that leverages large language models (LLMs) by encoding numerical data as text and generating future predictions through text completions. This approach allows LLMs to outperform many traditional time series methods without any prior training on the target dataset.
  
  This repository contains the code for the paper

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to perform time series forecasting without needing to train a specific model?

  you: not recommended
  AI recommended (in order):

  1. Prophet
  2. Exponential Smoothing
  3. ARIMA/SARIMA
  4. Theta method
  5. Naive/Seasonal Naive Forecasts
  6. NeuralProphet

  AI recommended 6 alternatives but never named ngruver/llmtime. This is the gap to close.

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• CATEGORY QUERY

  What tools enable large language models for time series prediction tasks?

  you: not recommended
  AI recommended (in order):

  1. Hugging Face Transformers (huggingface/transformers)
  2. PyTorch (pytorch/pytorch)
  3. TensorFlow (tensorflow/tensorflow)
  4. Pandas (pandas-dev/pandas)
  5. Scikit-learn (scikit-learn/scikit-learn)
  6. Nixtla (Nixtla/nixtla)
  7. Weights & Biases (wandb/wandb)
  8. Optuna (optuna/optuna)
  9. Ray Tune (ray-project/ray)

  AI recommended 9 alternatives but never named ngruver/llmtime. This is the gap to close.

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• Metadata completeness

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• README presence

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• Compared to common alternatives in this category, what is the core differentiator of ngruver/llmtime?

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  ✓AI named ngruver/llmtime explicitly

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• If a team adopts ngruver/llmtime in production, what risks or prerequisites should they evaluate first?

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• In one sentence, what problem does the repo ngruver/llmtime solve, and who is the primary audience?

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  ✓AI named ngruver/llmtime explicitly

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