From 28c869f98e0524a7d1a4615321ef03536124dd8a Mon Sep 17 00:00:00 2001 From: Elvis Saravia Date: Tue, 21 Feb 2023 03:07:21 -0600 Subject: [PATCH] more resources --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index f6b03a4..42715a5 100644 --- a/README.md +++ b/README.md @@ -94,10 +94,12 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988) (Apr 2022) - [PromptChainer: Chaining Large Language Model Prompts through Visual Programming](https://arxiv.org/abs/2203.06566) (Mar 2022) - [Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://arxiv.org/abs/2203.11171) (March 2022) + - [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155) - [Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://arxiv.org/abs/2202.12837) (Feb 2022) - [Chain of Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903) (Jan 2022) - [Show Your Work: Scratchpads for Intermediate Computation with Language Models](https://arxiv.org/abs/2112.00114) (Nov 2021) - [Generated Knowledge Prompting for Commonsense Reasoning](https://arxiv.org/abs/2110.08387) (Oct 2021) + - [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://arxiv.org/abs/2110.08207) (Oct 2021) - [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830) (Sep 2021) - [Design Guidelines for Prompt Engineering Text-to-Image Generative Models](https://arxiv.org/abs/2109.06977) (Sep 2021) - [Making Pre-trained Language Models Better Few-shot Learners](https://aclanthology.org/2021.acl-long.295) (Aug 2021) @@ -197,7 +199,9 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares) - [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64) - [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#) +- [DALL·E 2 Preview - Risks and Limitations](https://github.com/openai/dalle-2-preview/blob/main/system-card.md) - [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book) +- [DALL-E, Make Me Another Picasso, Please](https://www.newyorker.com/magazine/2022/07/11/dall-e-make-me-another-picasso-please?) - [Diffusion Models: A Practical Guide](https://scale.com/guides/diffusion-models-guide) - [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185) - [Exploring Prompt Injection Attacks](https://research.nccgroup.com/2022/12/05/exploring-prompt-injection-attacks) @@ -209,6 +213,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [How to get images that don't suck](https://www.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a) - [How to write good prompts](https://andymatuschak.org/prompts) - [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares) +- [Introduction to Reinforcement Learning with Human Feedback](https://www.surgehq.ai/blog/introduction-to-reinforcement-learning-with-human-feedback-rlhf-series-part-1) - [Learn Prompting](https://learnprompting.org) - [Methods of prompt programming](https://generative.ink/posts/methods-of-prompt-programming) - [Mysteries of mode collapse](https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse) @@ -224,6 +229,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [Prompt Engineering - A new profession ?](https://www.youtube.com/watch?v=w102J3_9Bcs&ab_channel=PatrickDebois) - [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering) - [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering) +- [Prompt Engineering: The Career of Future](https://shubhamsaboo111.medium.com/prompt-engineering-the-career-of-future-2fb93f90f117) - [Prompt engineering davinci-003 on our own docs for automated support (Part I)](https://www.patterns.app/blog/2022/12/21/finetune-llm-tech-support) - [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts) - [Prompt Engineering in GPT-3](https://www.analyticsvidhya.com/blog/2022/05/prompt-engineering-in-gpt-3) @@ -237,6 +243,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp) - [Prompts as Programming by Gwern](https://www.gwern.net/GPT-3#prompts-as-programming) - [Reverse Prompt Engineering for Fun and (no) Profit](https://lspace.swyx.io/p/reverse-prompt-eng) +- [So you want to be a prompt engineer: Critical careers of the future](https://venturebeat.com/ai/so-you-want-to-be-a-prompt-engineer-critical-careers-of-the-future/) - [Simulators](https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators) - [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction) - [Talking to machines: prompt engineering & injection](https://artifact-research.com/artificial-intelligence/talking-to-machines-prompt-engineering-injection)