New week, new Rust! What are you folks up to?
Probably some CLI tool to convert a JSON file into CLI arguments and environment variables for Chromium 
Implementing GloVe in rust - GloVe is a word vector model proposed about a decade ago.
Word vectors are dense high dimensional vectors that are useful because similar words have similar vectors; they can be used as input to other ML models or directly for inference: QUEEN - KING + MAN = WOMAN.
Training is based on word co-occurrences; these are relatively simple to count. The problem is to do it efficiently for large corpora. Initially I wanted to try polars-rs - but I don't think it is well suited for the job - uses too much RAM. The trick for this task is to use disk instead of RAM.
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