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Typst – Compose Papers Faster(typst.app)
325 points by iNic | 106 comments
Landing page for Typst, a markup-based typesetting system and collaborative web editor for composing papers, currently in beta.
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Understand how transformers work by demystifying the math behind them(osanseviero.github.io)
408 points by LaserPineapple | 94 comments
A hackerllama blog post walking through an end-to-end worked example of transformer math using small random vectors and matrices.
Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)
549 points by chmaynard | 134 comments
Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.
Transformers Explained Visually(poloclub.github.io)
576 points by aray07 | 85 comments
Transformer Explainer is an interactive in-browser visualization that runs GPT-2 and shows how embeddings, multi-head self-attention, and MLP layers process text.
The Illustrated Transformer(jalammar.github.io)
468 points by auraham | 85 comments
Jay Alammar's illustrated blog post explaining the Transformer neural network architecture and its self-attention mechanism with visual diagrams.
RWKV: Reinventing RNNs for the Transformer Era(arxiv.org)
318 points by ianbutler | 164 comments
arXiv paper introducing RWKV, a model architecture combining Transformer-style parallel training with efficient RNN inference via linear attention.
AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.












