curlit
Prompt-Engineering-Guide
| curlit | Prompt-Engineering-Guide | |
|---|---|---|
| 1 | 83 | |
| 0 | 44,513 | |
| - | 3.6% | |
| 3.4 | 9.7 | |
| about 1 year ago | 8 days ago | |
| Dockerfile | MDX | |
| - | 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.
curlit
Prompt-Engineering-Guide
-
Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Prompt Engineering Guide is the holy grail of all guides, aiming to make it easier to stay up-to-date with prompt engineering guides, techniques, applications, and papers. If you are getting started, this is an excellent place to start.
- 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)
What are some alternatives?
promptflow - Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
ChatGPT3-Free-Prompt-List - A free guide for learning to create ChatGPT3 Prompts
openai-cookbook - Examples and guides for using the OpenAI API
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%
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Awesome-Prompt-Engineering - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
BetterChatGPT - An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
chat_waitlist_signup