Already, chatGPT and bing can both give great on-topic answers to 3 word queries. and the fact that you can infinitely refine it is great
OTOH i think there is space for developing GUIs for prompts. Makes them more engaging
Already, chatGPT and bing can both give great on-topic answers to 3 word queries. and the fact that you can infinitely refine it is great
OTOH i think there is space for developing GUIs for prompts. Makes them more engaging
If I have an LLM in a video game that generates NPC dialog, I might want to feed more information to the prompt based on things my character has done in the game so the NPC dialogue is more relevant to me.
Maybe I want to inject the user’s location or the current weather in Sunnyvale, CA for the specific query. Or maybe I want to inject that the user is currently at Disneyland.
Maybe the user really likes a specific tv show and I want to let the model know that. Or maybe the specific TV show was DMCA’d by an IP owner and I need to put that in the prompt.
Do I need to detect that the user is below 13 yrs old and use a different prompt (or a different model altogether)?
Maybe I want the model to only ever respond with JSON without the user needing to specify. It needs to be clarified in the prompt with no way for the user to override it.
Models can be simplified to: input to output. Prompt engineering will be engineering the inputs.
You’re completely ignoring the system prompts that OpenAI/Bing have already set up so your “3 word query” works as you intend. These system prompts are what prompt engineering is all about.