New post with @joshuamarie: Bayesian Neural Networks in {tidymodels} with {kindling} 🔥
BNNs learn weight distributions instead of fixed values — giving uncertainty estimates alongside predictions, all within a standard {tidymodels} workflow.
👉 https://statsandr.com/blog/bayesian-neural-networks-in-tidymodels-with-kindling/






. The large context window (1M tokens) and the ability to set the temperature to 0, meaning NO CREATIVITY, make this LLM a very good tool for RAG when communicating with your own materials. For example, I recently had a small question about the applicability of a ridge regression model that I trained in 


