I’m trying to future-proof my career as a data scientist, and with things moving so fast with GenAI, I’m wondering what skills will actually keep me ahead. Should I be diving into LLM fine-tuning, getting better at prompt engineering, or something else? If you’ve upskilled in this space, what’s been the most valuable for you?

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I’d say both! Fine-tuning helps for specific use cases, but prompt engineering is a must-have for quick, effective results.

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