11–20 of 58 posts
Yes. I deploy prompts professionally for work and I almost always iterate with chatGPT. It requires a bit of back forth but you can get great results. It lets you iterate at a higher level instead of word for word. I also find that the prompts work better. Prompt engineering is often about finding magic words and sentences that are dense keywords from the training data and another LLM is going to be good at finding t…
Yes, I've had great success with this in a few cases. There's the obvious "create a stable diffusion prompt with all the line noise of 'unreal engine 4K high quality award winning photorealistic'" stuff which is pretty obvious. Less obvious is using it to refine system prompts for the "create your own GPTs" thing. I used this approach for my "Chat with Marcus Aurelius, Emperor of Rome and Stoic philosopher"[1] and "N…
I'm tempted to build a tool that uses DAGs to orchestrate sequential prompt engineering, but typing that out makes me feel dirty.
I'm tempted to build a tool that uses DAGs to orchestrate sequential prompt engineering, but typing that out makes me feel dirty.
I have spent hours and hours and hours and hours trying to get ChatGPT to be a little less apologetic, long-winded, to stop reiterating, and to not interpret questions about its responses as challenges (i.e when I say “what does this line do?” ChatGPT responds “you’re right, there’s another way to do it…”).
Nothing and I mean NOTHING will get ChatGPT with GPT-4 to behave consistently. And it gets worse every day. It’s like a twisted version of a genie misinterpreting a wish. I don’t know if I’ve poisoned my ChatGPT or if I’m being A/B tested to death but every time I use ChatGPT I very seriously consider unsubscribing. The only reasons I don’t are 1) I had an insanely impressive experience with GPT-3, and 2) Google is similarly rapidly decreasing in usefulness.
The prompt gave much much better results than than the one I wrote.
Yes. I deploy prompts professionally for work and I almost always iterate with chatGPT. It requires a bit of back forth but you can get great results. It lets you iterate at a higher level instead of word for word. I also find that the prompts work better. Prompt engineering is often about finding magic words and sentences that are dense keywords from the training data and another LLM is going to be good at finding t…
I’ve commented it before, and surely it’s something I’m doing wrong, but I cannot believe system prompts or GPTs or any amount of instructing actually works for people to get ChatGPT to respond in a certain fashion with any consistency. I have spent hours and hours and hours and hours trying to get ChatGPT to be a little less apologetic, long-winded, to stop reiterating, and to not interpret questions about its respo…