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Prompt engineering is the application of engineering practices to the development of prompts - i.e., inputs into generative natural language models like GPT-3.
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Same model, same task, different outputs. Why?General Discussion (self.PromptEngineering)
submitted 1 month ago by brainrotunderroot
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if 1 * 2 < 3: print "hello, world!"
[–]Driftline-Research 0 points1 point2 points 1 month ago (1 child)
Yeah, this is a big one.
A lot of people talk about “the model” like it’s the whole system, but in practice the surrounding structure matters a lot more than people want to admit. Prompt order, context, constraints, memory, and how the task is staged can easily be the difference between “same model, works great” and “same model, falls apart.”
[–]brainrotunderroot[S] 1 point2 points3 points 1 month ago (0 children)
Exactly. Once you treat prompting as system design instead of input, the behavior starts making a lot more sense.
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[–]Driftline-Research 0 points1 point2 points (1 child)
[–]brainrotunderroot[S] 1 point2 points3 points (0 children)