monitors4codegen
chronos-forecasting
monitors4codegen | chronos-forecasting | |
---|---|---|
2 | 4 | |
150 | 1,751 | |
35.3% | 25.9% | |
7.5 | 6.8 | |
about 2 months ago | 6 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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monitors4codegen
chronos-forecasting
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TimesFM (Time Series Foundation Model) for time-series forecasting
On a related note, Amazon also had a model for time series forecasting called Chronos.
https://github.com/amazon-science/chronos-forecasting
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Financial Market Applications of LLMs
There were some developments using LLMs in the timeseries domain which caught my attention.
I toyed with the Chronos forecasting toolkit [1], and the results were predictably off by wild margins [2]
What really caught my eye though was the "feel" of the predicted timeseries -- this is the first time I've seen synthetic timeseries that look like the real thing. Stock charts have a certain quality to them, once you've been looking at them long enough, you can tell more often than not whether some unlabeled data is a stock price timeseries or not. It seems the chronos LLM was able to pick up on that "nature" of the price movement, and replicate it in its forecasts. Impressive!
1: https://github.com/amazon-science/chronos-forecasting
2: https://imgur.com/a/hTRQ38d
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Chronos: Learning the Language of Time Series
https://github.com/amazon-science/chronos-forecasting
- Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
What are some alternatives?
magicoder - Magicoder: Source Code Is All You Need
gluonts - Probabilistic time series modeling in Python
autolabel - Label, clean and enrich text datasets with LLMs.
meta-prompting - Official implementation of BGPT @ ICLR 2024 paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)