Diffusion models explained simply(seangoedecke.com)
123 points by onnnon | 25 comments
123 points by onnnon | 25 comments
103 points by FragrantRiver | 36 comments
74 points by MrBuddyCasino | 101 comments
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.
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.
578 points by wilsonzlin | 97 comments
Wilson Lin's blog post describing how he built a web search engine from scratch in two months using 3 billion neural embeddings.
380 points by tomcam | 91 comments
Cohere blog post explaining what transformer models are and how they work in natural language processing.
482 points by gpjt | 101 comments
Blog post, part 28 of a series, describing an experiment training a ~163M-parameter base LLM from scratch on a single RTX 3090 at home.
415 points by amrrs | 52 comments
GitHub repository for smolGPT, a minimal PyTorch implementation for training a small GPT-style language model from scratch.