Additional Reading
(Sorted by Name)
- 2023 AI Index Report
- 3 Principles for prompt engineering with GPT-3
- Eight Things to Know about Large Language Models
- A beginner-friendly guide to generative language models – LaMBDA guide
- A Complete Introduction to Prompt Engineering for Large Language Models
- A Generic Framework for ChatGPT Prompt Engineering
- An SEO’s guide to ChatGPT prompts
- Anyone can Design! With a little help from Generative AI
- AI Content Generation
- AI’s rise generates new job title: Prompt engineer
- AI Safety, RLHF, and Self-Supervision – Jared Kaplan | Stanford MLSys #79
- Awesome Textual Instruction Learning Papers
- Awesome ChatGPT Prompts
- Best 100+ Stable Diffusion Prompts
- Best practices for prompt engineering with OpenAI API
- Building GPT-3 applications — beyond the prompt
- Can AI really be protected from text-based attacks?
- ChatGPT, AI and GPT-3 Apps and use cases
- ChatGPT Prompts
- ChatGPT Plugins Collection ⭐️ (unofficial)
- ChatGPT3 Prompt Engineering
- CMU Advanced NLP 2022: Prompting
- Common Sense as Dark Matter – Yejin Choi | Stanford MLSys #78
- Create images with your words – Bing Image Creator comes to the new Bing
- Curtis64’s set of prompt gists(opens in a new tab)
- CS324 – Large Language Models(opens in a new tab)
- CS 324 – Advances in Foundation Models(opens in a new tab)
- CS224N: Natural Language Processing with Deep Learning(opens in a new tab)
- DALL·E 2 Prompt Engineering Guide(opens in a new tab)
- DALL·E 2 Preview – Risks and Limitations(opens in a new tab)
- DALLE Prompt Book(opens in a new tab)
- DALL-E, Make Me Another Picasso, Please(opens in a new tab)
- Diffusion Models: A Practical Guide(opens in a new tab)
- Exploiting GPT-3 Prompts(opens in a new tab)
- Exploring Prompt Injection Attacks(opens in a new tab)
- Extrapolating to Unnatural Language Processing with GPT-3’s In-context Learning: The Good, the Bad, and the Mysterious(opens in a new tab)
- FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering(opens in a new tab)
- Generative AI with Cohere: Part 1 – Model Prompting(opens in a new tab)
- Generative AI: Perspectives from Stanford HAI(opens in a new tab)
- Get a Load of This New Job: “Prompt Engineers” Who Act as Psychologists to AI Chatbots(opens in a new tab)
- Giving GPT-3 a Turing Test(opens in a new tab)
- GPT-3 & Beyond(opens in a new tab)
- GPT3 and Prompts: A quick primer(opens in a new tab)
- GPT-4 Tutorial: How to Chat With Multiple PDF Files (~1000 pages of Tesla’s 10-K Annual Reports)(opens in a new tab)
- Hands-on with Bing’s new ChatGPT-like features(opens in a new tab)
- How to Draw Anything(opens in a new tab)
- How to get images that don’t suck(opens in a new tab)
- How to make LLMs say true things(opens in a new tab)
- How to perfect your prompt writing for AI generators(opens in a new tab)
- How to write good prompts(opens in a new tab)
- If I Was Starting Prompt Engineering in 2023: My 8 Insider Tips(opens in a new tab)
- Indirect Prompt Injection on Bing Chat(opens in a new tab)
- Interactive guide to GPT-3 prompt parameters(opens in a new tab)
- Introduction to ChatGPT(opens in a new tab)
- Introduction to Reinforcement Learning with Human Feedback(opens in a new tab)
- In defense of prompt engineering(opens in a new tab)
- JailBreaking ChatGPT: Everything You Need to Know(opens in a new tab)
- Long Context Prompting for Claude 2.1(opens in a new tab)
- Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP(opens in a new tab)
- Language Model Behavior: A Comprehensive Survey(opens in a new tab)
- Learn Prompting(opens in a new tab)
- Learning Prompt(opens in a new tab)
- LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity(opens in a new tab)
- Make PowerPoint presentations with ChatGPT(opens in a new tab)
- Meet Claude: Anthropic’s Rival to ChatGPT(opens in a new tab)
- Methods of prompt programming(opens in a new tab)
- Mysteries of mode collapse(opens in a new tab)
- NLP for Text-to-Image Generators: Prompt Analysis(opens in a new tab)
- NLP with Deep Learning CS224N/Ling284 – Lecture 11: Prompting, Instruction Tuning, and RLHF(opens in a new tab)
- Notes for Prompt Engineering by sw-yx(opens in a new tab)
- On pitfalls (and advantages) of sophisticated large language models(opens in a new tab)
- OpenAI Cookbook(opens in a new tab)
- OpenAI Prompt Examples for several applications(opens in a new tab)
- Pretrain, Prompt, Predict – A New Paradigm for NLP(opens in a new tab)
- Prompt Engineer: Tech’s hottest job title?(opens in a new tab)
- Prompt Engineering by Lilian Weng(opens in a new tab)
- Prompt Engineering 101 – Introduction and resources(opens in a new tab)
- Prompt Engineering 201: Advanced prompt engineering and toolkits(opens in a new tab)
- Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting(opens in a new tab)
- Prompt Engineering 101(opens in a new tab)
- Prompt Engineering – A new profession ?(opens in a new tab)
- Prompt Engineering by co:here(opens in a new tab)
- Prompt Engineering by Microsoft(opens in a new tab)
- Prompt Engineering: The Career of Future(opens in a new tab)
- Prompt engineering davinci-003 on our own docs for automated support (Part I)(opens in a new tab)
- Prompt Engineering Guide: How to Engineer the Perfect Prompts(opens in a new tab)
- Prompt Engineering in GPT-3(opens in a new tab)
- Prompt Engineering Template(opens in a new tab)
- Prompt Engineering Topic by GitHub(opens in a new tab)
- Prompt Engineering: The Ultimate Guide 2023 [GPT-3 & ChatGPT](opens in a new tab)
- Prompt Engineering: From Words to Art(opens in a new tab)
- Prompt Engineering with OpenAI’s GPT-3 and other LLMs(opens in a new tab)
- Prompt injection attacks against GPT-3(opens in a new tab)
- Prompt injection to read out the secret OpenAI API key(opens in a new tab)
- Prompting: Better Ways of Using Language Models for NLP Tasks(opens in a new tab)
- Prompting for Few-shot Learning(opens in a new tab)
- Prompting in NLP: Prompt-based zero-shot learning(opens in a new tab)
- Prompting Methods with Language Models and Their Applications to Weak Supervision(opens in a new tab)
- Prompts as Programming by Gwern(opens in a new tab)
- Prompts for communicators using the new AI-powered Bing(opens in a new tab)
- Reverse Prompt Engineering for Fun and (no) Profit(opens in a new tab)
- Retrieving Multimodal Information for Augmented Generation: A Survey(opens in a new tab)
- So you want to be a prompt engineer: Critical careers of the future(opens in a new tab)
- Simulators(opens in a new tab)
- Start with an Instruction(opens in a new tab)
- Talking to machines: prompt engineering & injection(opens in a new tab)
- Tech’s hottest new job: AI whisperer. No coding required(opens in a new tab)
- The Book – Fed Honeypot(opens in a new tab)
- The ChatGPT Prompt Book(opens in a new tab)
- The ChatGPT list of lists: A collection of 3000+ prompts, examples, use-cases, tools, APIs, extensions, fails and other resources(opens in a new tab)
- The Most Important Job Skill of This Century(opens in a new tab)
- The Mirror of Language(opens in a new tab)
- The Waluigi Effect (mega-post)(opens in a new tab)
- Thoughts and impressions of AI-assisted search from Bing(opens in a new tab)
- Unleash Your Creativity with Generative AI: Learn How to Build Innovative Products!(opens in a new tab)
- Unlocking Creativity with Prompt Engineering(opens in a new tab)
- Using GPT-Eliezer against ChatGPT Jailbreaking(opens in a new tab)
- What Is ChatGPT Doing … and Why Does It Work?(opens in a new tab)
- Why is ChatGPT so good?(opens in a new tab)
- 【徹底解説】これからのエンジニアの必携スキル、プロンプトエンジニアリングの手引「Prompt Engineering Guide」を読んでまとめてみた(opens in a new tab)
