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by fisf
1410 days ago
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Especially in the edge / embedded space, MLEng will imply more than just doing ops. Stuff to do could include:
- Getting a network architecture to run.
- Applying optimization depending on target arch (pruning, quantisation, custom cuda kernels, etc).
- Integrating models (rule of thumb: a product is 95% ordinary code, 5% is ML related).
- Constructing benchmarks, monitoring |
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