about.qmd

---
title: "Bayesian beagle"
image: bayesian-beagle.png
about:
  template: jolla
  # links:
  #   - icon: github
  #     text: Github
  #     href: https://github.com/wesslen/bayesian-beagle
comments: false
---

Welcome to the Bayesian beagle blog! This project is a unique intersection of machine learning and scientific communication, providing a platform where readers can quickly get insights from the latest research papers hosted on [ArXiv](https://arxiv.org/). Utilizing state-of-the-art Large Language Models (LLMs), our system generates concise, comprehensible summaries of complex research articles, covering a wide array of disciplines.

**All content is LLM generated.** Assume skepticism and verify in the original paper as LLM models are imperfect and can struggle under certain circumstances.

Our blog is built using [Quarto](https://quarto.org/) and then published with [Netlify](https://app.netlify.com/).

```{mermaid}
graph LR
    A["Download weekly Arxiv articles"] --> B["Predict and Filter LLM topic"]
    B --> C["Summarize short docs"]
    B --> D["Summarize by Map-Reduce long docs"]
    C --> E["Update website with summaries weekly"]
    D --> E
```