I think I found a based Substack on low-level GPU programming by accident.
He has some extensive articles on CUDA programming, building LLM inference engines, looking inside GPUs and much more.
even the name is cool: "From Scratch". bro.
- Google Maps uses graph ML to predict ETA
- Netflix uses graph ML (GNN) in recommendation
- Spotify uses graph ML (HGNNs) in recommendation
- Pinterest uses graph ML (PingSage) in recommendation
Here are 6 must-know ways for graph feature engineering (with code):
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