My first reaction when I heard that John Hopfield and Geoffrey Hinton had been awarded the Physics Nobel was – “aren’t there any advances in physics that are, perhaps, more deser…| Eight to Late
Explore how you can use AI and ML for fraud detection to enhance your software’s data security and see what techniques and approaches to choose.| Apriorit
[Updated on 2019-07-18: add a section on VQ-VAE & VQ-VAE-2.] [Updated on 2019-07-26: add a section on TD-VAE.] Autocoder is invented to reconstruct high-dimensional data using a neural network model with a narrow bottleneck layer in the middle (oops, this is probably not true for Variational Autoencoder, and we will investigate it in details in later sections). A nice byproduct is dimension reduction: the bottleneck layer captures a compressed latent encoding.| lilianweng.github.io
Trying to peek inside the "black box".| seantrott.substack.com
Sparse Autoencoders (SAEs) have recently become popular for interpretability of machine learning models (although sparse dictionary learning has been around since 1997). Machine learning models and LLMs are becoming more powerful and useful, but they are still black boxes, and we don’t understand how they do the things that they are capable of. It seems like it would be useful if we could understand how they work.| Adam Karvonen
Trade-offs between the particular and the general.| seantrott.substack.com
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co