PatchTST: The Transformer That 'Listens' to Time Series — Or Just Patches Over the Hype?
Silicon Valley's latest Transformer twist claims to 'listen' to time series data like no other. But after 20 years watching this circus, I'm asking: who's cashing in, and does it even work outside benchmarks?
⚡ Key Takeaways
- PatchTST patches time series into chunks for efficient Transformer scaling on long sequences.
- Beats benchmarks but real-world noise and deployment hurdles loom large.
- Hype like 'listening' masks standard token tricks; profits flow to academia and GPU makers.
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Originally reported by Towards AI
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