Update README.md

README.md

@@ -1,3 +1,38 @@
 ---
 license: apache-2.0
+tags:
+- time series
+- forecasting
+- pretrained models
+- foundation models
+- time series foundation models
 ---
+
+# Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
+
+![lag-llama-architecture](images/lagllama.webp)
+
+Lag-Llama is the <b>first open-source foundation model for time series forecasting</b>!
+
+Twitter Thread: https://twitter.com.
+
+HuggingFace: {}
+
+Colab Demo: {}
+
+Paper: {Not arxiv}.
+
+arXiv has a previous outdated version of the paper and is still being updated with the latest version; please use the above link to access the latest version.
+
+This repository houses the Lag-Llama architecture.
+
+<b>Current Features:</b>
+
+1. <b>Zero-shot forecasting</b> on a dataset of <b>any frequency</b> for <b>any prediction length</b>, using the Colab Demo.
+
+Coming Soon:
+
+1. An <b>online gradio demo</b> to upload time series and get zero-shot predictions for
+1. Features for <b>finetuning</b> the foundation model
+2. Features for <b>pretraining</b> Lag-Llama on your own large-scale data
+3. Scripts to <b>reproduce</b> all results in the paper.