https://www.rehansheikh.com/blog/vae What the F*** is a VAE?Rehan SheikhJanuary 23, 2025 “A disentangled variational autoencoder aims for each latent dimension… to correspond to a single factor of variation in your dataset.”
What I Read: impossible languages
https://www.quantamagazine.org/can-ai-models-show-us-how-people-learn-impossible-languages-point-a-way-20250113/ Can AI Models Show Us How People Learn? Impossible Languages Point a Way.Ben Brubaker1/13/25 11:00 AM “Certain grammatical rules never appear in any known language. By constructing artificial languages
What I Read: transfer learning
https://lunar-joke-35b.notion.site/Transfer-Learning-101-133ba4b6a3fa800e8cede11ee3f1c1cd Transfer Learning 101Himanshu DubeyNov 5, 2024 “Let’s understand Transfer Learning in greater detail.”
What I Read: Model Merging
https://planetbanatt.net/articles/modelmerging.html Model Merging and YouEryk BanattAugust 2024 “Model Merging is a weird and experimental technique which lets you take two models and combine them together to get a new model.”
What I Read: ML, Go
https://eli.thegreenplace.net/2024/gomlx-ml-in-go-without-python/#footnote-reference-2 GoMLX: ML in Go without PythonEli BenderskyNovember 22, 2024 at 07:00 “GoMLX is a relatively new Go package for ML that deserves some attention.”
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?”