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So it looks like we all need to have firm understanding and tailor our prompts now to effectively use LLMs. Isn't this all subjective? I get different answers b
by sherdil2022 1y ago
So it looks like we all need to have firm understanding and tailor our prompts now to effectively use LLMs. Isn't this all subjective? I get different answers based upon how I word my question. Shouldn't things be little bit more objective? Isn't this random that I get different results based upon just wording? This whole thing is just discombobulating to me.
- fcoury 1y agoAnd to add to it, here's my experience: sometimes you spend a lot of time on this upfront prompt engineering and get bad results and sometimes you just YOLO it and get good results. It's hard to advocate for a determined strategy for prompt engineering when the tool you're prompting itself is non-deterministic. Edit: I also love that the examples come with "AI’s response to the poor prompt (simulated)"
- emseetech 1y agoAlso that non-determinism means every release will change the way prompting works. There's no guarantee of consistency like an API or a programming language release would have.