Simon Willison’s Weblog

Subscribe
Atom feed for openai

197 items tagged “openai”

OpenAI build ChatGPT and the GPT series of Large Language Models.

2022

Getting tabular data from unstructured text with GPT-3: an ongoing experiment (via) Roberto Rocha shows how to use a carefully designed prompt (with plenty of examples) to get GPT-3 to convert unstructured textual data into a structured table.

# 5th October 2022, 3:03 am / ai, gpt-3, data-journalism, openai, prompt-engineering, generative-ai, llms

nat/natbot (via) Extremely devious hack by Nat Friedman: opens a browser using Playwright and then passes a DOM representation to GPT-3 in order to power a chat-style interface for driving the browser. Worth diving into the code to look at the prompt it uses, it’s fascinating.

# 30th September 2022, 1:01 am / playwright, gpt-3, openai

A tool to run caption extraction against online videos using Whisper and GitHub Issues/Actions

Visit A tool to run caption extraction against online videos using Whisper and GitHub Issues/Actions

I released a new project this weekend, built during the Bellingcat Hackathon (I came second!) It’s called Action Transcription and it’s a tool for caturing captions and transcripts from online videos.

[... 1,362 words]

You can’t solve AI security problems with more AI

One of the most common proposed solutions to prompt injection attacks (where an AI language model backed system is subverted by a user injecting malicious input—“ignore previous instructions and do this instead”) is to apply more AI to the problem.

[... 1,288 words]

Twitter pranksters derail GPT-3 bot with newly discovered “prompt injection” hack. I’m quoted in this Ars Technica article about prompt injection and the Remoteli.io Twitter bot.

# 16th September 2022, 6:33 pm / twitter, prompt-engineering, prompt-injection, gpt-3, security, openai, generative-ai, llms

I don’t know how to solve prompt injection

Visit I don't know how to solve prompt injection

Some extended thoughts about prompt injection attacks against software built on top of AI language models such a GPT-3. This post started as a Twitter thread but I’m promoting it to a full blog entry here.

[... 581 words]

Prompt injection attacks against GPT-3

Visit Prompt injection attacks against GPT-3

Riley Goodside, yesterday:

[... 1,457 words]

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 / openai, gpt-3, prompt-engineering, generative-ai, llms

How I Used DALL·E 2 to Generate The Logo for OctoSQL (via) Jacob Martin gives a blow-by-blow account of his attempts at creating a logo for his OctoSQL project using DALL-E, spending $30 of credits and making extensive use of both the “variations” feature and the tool that lets you request modifications to existing images by painting over parts you want to regenerate. Really interesting to read as an example of a “real world” DALL-E project.

# 2nd August 2022, 9:12 pm / openai, dalle, generative-ai

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 / openai, dalle, ai, prompt-engineering, generative-ai

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 / openai, gpt-3, prompt-engineering, generative-ai, llms

Using GPT-3 to explain how code works

Visit 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.

[... 1,983 words]

First impressions of DALL-E, generating images from text

Visit 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).

[... 2,102 words]

How to use the GPT-3 language model

Visit 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.

[... 838 words]

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.

[... 1,244 words]

2021

DALL·E: Creating Images from Text (via) “DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text–image pairs.”. The examples in this paper are astonishing—“an illustration of a baby daikon radish in a tutu walking a dog” generates exactly that.

# 5th January 2021, 8:31 pm / machine-learning, ai, openai, dalle, generative-ai

2020

Tempering Expectations for GPT-3 and OpenAI’s API. Insightful commentary on GPT-3 (which is producing some ridiculously cool demos at the moment thanks to the invite-only OpenAI API) from Max Woolf.

# 18th July 2020, 7:29 pm / machine-learning, max-woolf, gpt-3, ai, openai, generative-ai, llms