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Differences across AI/ML systems
| Aspect | Traditional ML | NLP (Pre-GenAI) | GenAI | MLOps |
|---|---|---|---|---|
| Data | Structured, tabular | Text, tokens | Multi-modal | Any |
| Training | From small datasets | Task-specific corpora | Massive pretraining + fine-tune | Not about training, about lifecycle |
| Output | Prediction | Classification, tagging, parsing | Content (text, code, image) | Deployment + Ops |
| Role Focus | Data Scientist | NLP Researcher | Prompt Engineer, LLM Engineer | ML Engineer, Platform Eng. |