Hi HN, I'm Efe from Secondlaw AI. We are building physics-informed large AI models. Currently, we are focusing on weather modelling.<p>To benchmark SOTA, we had to build a forecasting infra for all available large weather models and we could not find a solid tooling to do so, so we built Skyrim. Within <5 mins and <5 LOC you can run forecasts on par with global weather models that are run on 100K+ CPU HPCs!<p>We are implementing more models & fine-tuning capabilities. Let us know if anything more we can add, also happy to answer any questions!
What's the granularity of the prediction (I'm not sure if that's the correct word? I'm not a meteorologist)? Region level (100s km)? City level (a few 10s of kms)? Block level (a few kms)?<p>When you say it's on par with global weather models, how is "weather prediction accuracy" measured?<p>Cool, none-the-less!