pythonpapertime-serieschronosfoundation-modelafter-work
Introducing Chronos: Learning the Language of Time Series for after-work quants
Ansari, Stella, Turkmen et al. (AWS AI Labs, 2024; arXiv:2403.07815) treat forecasting as language modeling: mean-scale, uniform bins (~4096), T5 20M–710M, cross-entropy. Pretrain on public + TSMixup + KernelSynth GPs. Strong in-domain and competitive zero-shot on 42 datasets. Code: amazon-science/chronos-forecasting. Plain-language intro. Not investment advice.