Lectures addicionals
(ordenat per nom)
- 2023 AI Index Report (opens in a new tab)
- 3 Principles for prompt engineering with GPT-3 (opens in a new tab)
- Eight Things to Know about Large Language Models (opens in a new tab)
- A beginner-friendly guide to generative language models - LaMBDA guide (opens in a new tab)
- A Complete Introduction to Prompt Engineering for Large Language Models (opens in a new tab)
- A Generic Framework for ChatGPT Prompt Engineering (opens in a new tab)
- An SEO’s guide to ChatGPT prompts (opens in a new tab)
- Anyone can Design! With a little help from Generative AI (opens in a new tab)
- AI Content Generation (opens in a new tab)
- AI's rise generates new job title: Prompt engineer (opens in a new tab)
- AI Safety, RLHF, and Self-Supervision - Jared Kaplan | Stanford MLSys #79 (opens in a new tab)
- Awesome Textual Instruction Learning Papers (opens in a new tab)
- Awesome ChatGPT Prompts (opens in a new tab)
- Best 100+ Stable Diffusion Prompts (opens in a new tab)
- Best practices for prompt engineering with OpenAI API (opens in a new tab)
- Building GPT-3 applications — beyond the prompt (opens in a new tab)
- Can AI really be protected from text-based attacks? (opens in a new tab)
- ChatGPT, AI and GPT-3 Apps and use cases (opens in a new tab)
- ChatGPT Prompts (opens in a new tab)
- ChatGPT Plugins Collection ⭐️ (unofficial) (opens in a new tab)
- ChatGPT3 Prompt Engineering (opens in a new tab)
- CMU Advanced NLP 2022: Prompting (opens in a new tab)
- Common Sense as Dark Matter - Yejin Choi | Stanford MLSys #78 (opens in a new tab)
- Create images with your words – Bing Image Creator comes to the new Bing (opens in a new tab)
- 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)
- 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)
- 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)
- 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: Promting, 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 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)