Nikos Kafritsas

The popular foundation time-series model just got an update Nikos Kafritsas · Follow Published in Towards Data Science · 9 min read · 15 hours ago — Image Source The race to build the Top foundation forecasting model is on! Salesforce’s MOIRAI, one of the early foundation models, achieved high benchmark results and was open-sourced along with its pretraining dataset, LOTSA. We extensively analyzed how MOIRAI works here — and built an end-to-end project comparing

And open-source as well! Nikos Kafritsas · Follow Published in Towards Data Science · 8 min read · 8 hours ago — A top-level view of Time-MOE (Image Source) The Mixture-of-Experts (MOE) architecture has surged in popularity with the rise of large language models (LLMs). As time-series models adopt cutting-edge techniques, Mixture-of-Experts has naturally found its place in the time-series foundation space. This article discusses Time-MOE, a time-series foundation model that uses MOE to improve

Leveraging the power of images for time-series forecasting Nikos Kafritsas · Follow Published in Towards Data Science · 8 min read · 2 hours ago — Created by author using DALLE*3 Which is the biggest challenge when building a pretrained time-series model? Answer: Finding high-quality, diverse time-series data. We’ve discussed this in previous articles. There are 2 main approaches to building a foundation forecasting model: “Bootstrap” an LLM: Repurpose a pretrained LLM like GPT-4 or

A unified model that covers multiple time-series tasks Nikos Kafritsas · Follow Published in Towards Data Science · 11 min read · 21 hours ago — Created by author using DALLE*3 Foundation models have ignited the applications of LLMs in time series. In the past few months, we saw the release of novel forecasting models like TimesFM, TimeGPT, and of course Salesforce’s…