TimeGPT and Lag-Llama: Two foundation models for time series forecasting

Time series analysis is now open sourced by discerning patterns in billions of univariate time series.

Time GPT:

• TimeGPT - Nixtla
• Revolutionizing Time Series Forecasting: Interview with TimeGPT’s creators

Lag Llama resources:

• Lag-Llama: Open-Source Foundation Model for Time Series Forecasting | by Marco Peixeiro | Feb, 2024 | Towards Data Science
• GitHub - time-series-foundation-models/lag-llama

Notes:

• The main breakthrough of TimeGPT is that it showed for the first time in the history of the field that the idea of a general pre-trained model was possible. In other words, TimeGPT is the first large-scale example of the transferability of time series models ready for production. We believe this marks a new chapter in the time series field, and we are extremely happy to see entities like Google (TimesFM), ServiceNow (LagLlama), Amazon (Chronos), Salesforce (Moirai), and CMU (Moment) following in our footsteps and contributing to this idea of pre-trained models for time series.

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Bryan lives somewhere at the intersection of faith, fatherhood, and futurism and writes about tech, books, Christianity, gratitude, and whatever’s on his mind. If you liked reading, perhaps you’ll also like subscribing: