Simon Willison’s Weblog

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69 items tagged “promptengineering”

2022

Stable Diffusion is a really big deal

If you haven’t been paying attention to what’s going on with Stable Diffusion, you really should be.

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Show HN: A new way to use GPT-3 to generate code (and everything else). Riley Goodside is my favourite Twitter follow for GPT-3 tips. Here he describes a powerful prompt pattern he’s designed which lets you generate extremely complex code output by asking GPT-3 to fill in $$areas like this$$ with different patterns, then stitch them together into full HTML or other source code files. It’s really clever. # 20th August 2022, 9:33 pm

Building games and apps entirely through natural language using OpenAI’s code-davinci model. A deeply sophisticated example of using prompts to generate entire working JavaScript programs and games using the new code-davinci OpenAI model. # 17th August 2022, 7:06 pm

The DALL·E 2 Prompt Book (via) This is effectively DALL-E: The Missing Manual: an 81 page PDF book that goes into exhaustive detail about how to get the most out of DALL-E through creative prompt design. # 14th July 2022, 11:26 pm

GPT-3 prompt for spotting nonsense questions (via) In response to complaints that GPT-3 will happily provide realistic sounding answers to nonsense questions, rictic recommends the following prompt: “I’ll ask a series of questions. If the questions are nonsense, answer ”yo be real“, if they’re a question about something that actually happened, answer them.” # 10th July 2022, 4:33 am

Using GPT-3 to explain how code works

One of my favourite uses for the GPT-3 AI language model is generating explanations of how code works. It’s shockingly effective at this: its training set clearly include a vast amount of source code.

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First impressions of DALL-E, generating images from text

I made it off the DALL-E waiting list a few days ago and I’ve been having an enormous amount of fun experimenting with it. Here are some notes on what I’ve learned so far (and a bunch of example images too).

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How to use the GPT-3 language model

I ran a Twitter poll the other day asking if people had tried GPT-3 and why or why not. The winning option, by quite a long way, was “No, I don’t know how to”. So here’s how to try it out, for free, without needing to write any code.

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A Datasette tutorial written by GPT-3

I’ve been playing around with OpenAI’s GPT-3 language model playground for a few months now. It’s a fascinating piece of software. You can sign up here—apparently there’s no longer a waiting list.

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