What are some neat examples you've seen of really complex GPT-3 prompts?
I think my current favourite is this one for browser automation by
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Bumping this because I want more elaborate GPT-3 examples! Surely someone has some good stuff to share?
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Love this example via @thepromptking - this whole thing is a prompt (when training chatbots it's often necessary to give them a whole bunch of example dialogue)
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Wow prompt engineering. From the Gopher paper:
"we include the complete prompt used to condition Gopher towards dialogue ...this prompt consumes roughly 800 tokens of the 2048-token context... In practice this leaves plenty of room for subsequent dialogue."
this is the prompt:
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This one is clever: teach GPT-3 how to handle more complex questions by showing it an example that both asks and answers relevant follow-up questions
read image description
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We've found a new way to prompt language models that improves their ability to answer complex questions
Our Self-ask prompt first has the model ask and answer simpler subquestions. This structure makes it easy to integrate Google Search into an LM. Watch our demo with GPT-3 
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I never open-sourced mine, but I'm using frontmatter to hold the GPT-3 header/options with the prompts in the body. It works well.
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I’m really curious how sending so many tokens as a feature affects inference speed.
Sorry no URL, but there are some examples of image/text interplay eg taking phrases used in DALLE/Stable Diffusion ("art deco"), then goad gpt-3 into explaining their meaning wrt style, content, materials, topics etc., + using that info for improved age prompting. Human v in loop
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That is one heck of a prompt. Would be nice if this type of prompt could be applied through a fine-tune rather than for each invocation, but besides the issue of whether that can actually be done there is also the issue of reuse?