Compression and LLMs Share a Core: Data Prediction
GIGAZINE highlights a blog post by ngrok developer educator Annie Sexton arguing that data compression and large language models solve the same underlying problem: predicting data. Both fields reduce redundancy and seek efficient representations, connected through entropy in information theory. The piece breaks down compression basics like minification and run-length encoding, then maps them to the structure of modern tools such as gzip and Brotli.