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Core machine learning engineering: quantization, local inference, retrieval-augmented generation, and distributed training.
Machine Learning focuses on applied ML systems engineering: retrieval chunking, vector databases, open-weight fine-tuning, and running frontier models locally on consumer and cluster hardware.
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