https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching.html An introduction to Flow MatchingTor Fjelde, Emile Mathieu, Vincent Dutordoir “Flow matching (FM) is a recent generative modelling paradigm which has rapidly been gaining popularity in the deep probabilistic
What I Read: Diffusion models, new theoretical perspective
https://www.chenyang.co/diffusion.html Diffusion models from scratch, from a new theoretical perspectiveChenyang Yuan2023 “This tutorial aims to introduce diffusion models from an optimization perspective…”
What I Read: Chatbots Understand Text
https://www.quantamagazine.org/new-theory-suggests-chatbots-can-understand-text-20240122/ New Theory Suggests Chatbots Can Understand TextAnil Ananthaswamy1/22/24 “Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they’re processing.”
What I Read: Deep learning, single-cell sequencing
https://thegradient.pub/deep-learning-for-single-cell-sequencing-a-microscope-to-uncover-the-rich-diversity-of-individual-cells/ Deep learning for single-cell sequencing: a microscope to see the diversity of cellsFatima Zahra El Hajji1/13/24 1:12 PM “…we will explore the pivotal role that Deep Learning, in particular,
What I Read: Nvidia, GPU gold rush
https://blog.johnluttig.com/p/nvidia-envy-understanding-the-gpu Nvidia Envy: understanding the GPU gold rushJohn LuttigNov 10, 2023 “In 2023, thousands of companies and countries begged Nvidia to purchase more GPUs. Can the exponential demand endure?”