Summary (TL;DR):
- Large Language Models (LLMs) aren’t magic. Used lazily, they’ll degrade thinking and outputs. When used well, they’ll do the opposite.
- This post outlines four principles for making that happen:
- Staying in the driver’s seat.
- Step back when you can’t confirm the output.
- Use LLMs for narrowly defined tasks.
- Have the human provide the scaffolding to direct those tasks.
- The payoff for effective LLM use isn’t just speed but better thinking, which is useful everywhere.
- We will only get these benefits if we train people to use them well. If we do, then these tools can be key in helping us learn and perform at our best.
Source: Simon Thornewill von Essen
https://sthornewillve.medium.com/how-to-use-ai-without-letting-it-think-for-you-4d6a9e90a663
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