Awesome-Prompt-Engineering
Prompt-Engineering-Guide
Our great sponsors
Awesome-Prompt-Engineering | Prompt-Engineering-Guide | |
---|---|---|
9 | 82 | |
3,196 | 43,924 | |
7.4% | 4.7% | |
5.8 | 9.7 | |
about 1 month ago | 2 days ago | |
Python | MDX | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-Prompt-Engineering
-
AI lessons
Yes, there are a lot of different resources online, especially for generative AI. The Awesome Prompt Engineering github is probably a good place to start https://github.com/promptslab/Awesome-Prompt-Engineering. If you're focusing directly on OpenAI's models then the OpenAI Prompt Engineering Guide would be my recommendation https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api.
-
Übersicht aller nützlichen Links für ChatGPT Prompt Engineering
Awesome-Prompt-Engineering
- Cách sử dụng ChatGpt
-
Not by AI
For AI art generation, a good starting point are AI prompt libraries to see results of good prompts.
[0] - https://github.com/promptslab/Awesome-Prompt-Engineering
- Research
-
A Comprehensive Guide & Hand-Curated Resource List for Prompt Engineering and LLMs on Github
Resource list: https://github.com/promptslab/Awesome-Prompt-Engineering
-
[D] A Comprehensive Guide & Hand-Curated Resource List for Prompt Engineering and LLMs on Github
Here you will find: - 📄 Papers in different categories such as Prompt Engineering Techniques, Text to Image Generation, Text Music/Sound Generation, Text Video Generation etc. - 🔧 Tools & code to build different GPT-based applications - 💻 Open-Source & Paid APIs - 💾 Datasets - 🧠 Prompt-Based Models - 📚 Tutorials from Beginner to Advanced level - 🎥 Videos - 🤝 Prompt-Engineering Communities and Groups for discussion Resource list: https://github.com/promptslab/Awesome-Prompt-Engineering We hope it will help you to get started & learn more about Prompt-Engineering. Prompt-Engineering Course: We are launching a free and open-source Prompt-Engineering Course Soon. Join our discord for Prompt-Engineering, LLMs and other latest research discussions https://discord.com/invite/m88xfYMbK6
Prompt-Engineering-Guide
- FLaNK AI - 15 April 2024
- Prompt Engineering Guide
-
24 GitHub repos with 372M views that you can't miss out as a software engineer
Guides, papers, lecture, notebooks and resources for prompt engineering: https://github.com/dair-ai/Prompt-Engineering-Guide
-
Resources to deepen LLMs understanding for software engineers
this has been a great resource. approachable and great for practitioners. it's frequently updated with new papers and techniques https://www.promptingguide.ai/
-
Step-by-Step Guide to building an Anomaly Detector using a LLM
The idea behind prompt engineering is to construct the queries given to the language models to optimise their performance. This helps to guide them to generate the desired output by fine-tuning their response. There is a plethora of research papers out there on different forms of prompt engineering. DAIR.AI published a guide on prompt engineering that you might find useful to get started.
-
The Essential Guide to Prompt Engineering for Creators and Innovators
Prompt Engineering Guide
-
Getting Started with Prompt Engineering
Let's try to understand what is Prompt Engineering is all about. Here's the quote from Prompt Engineering Guide. DAIR-AI
-
Microsoft/promptbase: All things prompt engineering
I found this resource [0] handy for getting a grasp on all the different terms people use (zero/one-shot, tree of thoughts, RAG, etc). It's not super detailed, but was enough for me (a professional developer) to get started on some side projects with Mistral.
[0] https://www.promptingguide.ai/
-
OpenAI: Prompt Engineering
There are better guides out there too
- https://www.promptingguide.ai/readings
- https://github.com/dair-ai/Prompt-Engineering-Guide/tree/mai...
- https://github.com/microsoft/promptbase (this one is less of a guide, but is likely the current SoTA)
-
Ask HN: Where to learn the cutting edge of prompt engineering?
- https://www.promptingguide.ai
What are some alternatives?
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
openai-cookbook - Examples and guides for using the OpenAI API
MagicPrompt - Prompt Generator for Stable Diffusion/Midjourney on GPT-2 models
BetterChatGPT - An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
chatoverflow - Empowering Developers with ChatGPT: The Ultimate Code Generator for Faster, Smarter Coding
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
Awesome-LLMOps - An awesome & curated list of best LLMOps tools for developers
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
chatgpt-kodyfire - Interact with chatGPT assistant on the terminal and save the conversation to text, markdown, mp3 and more