https://diffusionflow.github.io Diffusion Meets Flow Matching: Two Sides of the Same CoinRuiqi Gao, Emiel Hoogeboom, Jonathan Heek, Valentin De Bortoli, Kevin P. Murphy, Tim SalimansDec. 2, 2024 “Flow matching and diffusion
What I Read: Autoencoders, Interpretability
https://adamkarvonen.github.io/machine_learning/2024/06/11/sae-intuitions.html An Intuitive Explanation of Sparse Autoencoders for LLM InterpretabilityAdam KarvonenJun 11, 2024 “Sparse Autoencoders (SAEs) have recently become popular for interpretability of machine learning models…”
What I Read: Mathematics, ML
https://thegradient.pub/shape-symmetry-structure Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning ResearchHenry Kvinge16.Nov.2024 “What is the Role of Mathematics in Modern Machine Learning?”
What I Read: Replacements
https://tech.instacart.com/how-instacart-uses-machine-learning-to-suggest-replacements-for-out-of-stock-products-8f80d03bb5af?gi=a743b3b54c9f How Instacart Uses Machine Learning to Suggest Replacements for Out-of-Stock ProductsAhsaas BajajNov 7, 2024 “You’ve carefully chosen each item, but then you’re notified that some products might not be
What I Read: LLMs, School Math
https://towardsdatascience.com/understanding-llms-from-scratch-using-middle-school-math-e602d27ec876?gi=551c5bfd7f21 Understanding LLMs from Scratch Using Middle School MathRohit PatelOct 19, 2024 “In this article, we talk about how Large Language Models (LLMs) work, from scratch — assuming only that