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Prompt Engineering Resources
Prompting Guide
This is a great resource for prompting LLMs:
Tools and Sample Prompt Repositories
| Resource | Description | Link |
|---|---|---|
| LlamaIndex | LlamaIndex is a project consisting of a set of data structures designed to make it easier to use large external knowledge bases with LLMs. | [Github] |
| Promptify | Solve NLP Problems with LLM's & Easily generate different NLP Task prompts for popular generative models like GPT, PaLM, and more with Promptify | [Github] |
| Arize-Phoenix | Open-source tool for ML observability that runs in your notebook environment. Monitor and fine tune LLM, CV and Tabular Models. | [Github] |
| Better Prompt | Test suite for LLM prompts before pushing them to PROD | [Github] |
| CometLLM | Log, visualize, and evaluate your LLM prompts, prompt templates, prompt variables, metadata, and more. | [Github] |
| Embedchain | Framework to create ChatGPT like bots over your dataset | [Github] |
| Interactive Composition Explorerx | ICE is a Python library and trace visualizer for language model programs. | [Github] |
| Haystack | Open source NLP framework to interact with your data using LLMs and Transformers. | [Github] |
| LangChainx | Building applications with LLMs through composability | [Github] |
| OpenPrompt | An Open-Source Framework for Prompt-learning | [Github] |
| Prompt Engine | This repo contains an NPM utility library for creating and maintaining prompts for Large Language Models (LLMs). | [Github] |
| PromptInject | PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. | [Github] |
| Prompts AI | Advanced playground for GPT-3 | [Github] |
| Prompt Source | PromptSource is a toolkit for creating, sharing and using natural language prompts. | [Github] |
| ThoughtSource | A framework for the science of machine thinking | [Github] |
| PROMPTMETHEUS | One-shot Prompt Engineering Toolkit | [Tool] |
| AI Config | An Open-Source configuration based framework for building applications with LLMs | [Github] |
| LastMile AI | Notebook-like playground for interacting with LLMs across different modalities (text, speech, audio, image) | [Tool] |
| XpulsAI | Effortlessly build scalable AI Apps. AutoOps platform for AI & ML | [Tool] |
| Agenta | Agenta is an open-source LLM developer platform with the tools for prompt management, evaluation, human feedback, and deployment all in one place. | [Github] |
| Promptotype | Develop, test, and monitor your LLM { structured } tasks | [Tool] |
Tutorials and Videos
Introduction to Prompt Engineering
- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain)
- [Prompt Engineering 101](https://humanloop.com/blog/prompt-engineering-101)
- [Prompt Engineering Guide by SudalaiRajkumar](https://github.com/SudalaiRajkumar/Talks_Webinars/blob/master/Slides/PromptEngineering_20230208.pdf)
Beginner's Guide to Generative Language Models
- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
- [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1)
Best Practices for Prompt Engineering
- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
- [How to write good prompts](https://andymatuschak.org/prompts)
Complete Guide to Prompt Engineering
- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering)
- [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts)
Technical Aspects of Prompt Engineering
- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately)
- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
- [Methods of prompt programming](https://generative.ink/posts/methods-of-prompt-programming)
Resources for Prompt Engineering
- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts)
- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book)
- [OpenAI Cookbook](https://github.com/openai/openai-cookbook)
- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering)
YouTube Videos
- Advanced ChatGPT Prompt Engineering
- ChatGPT: 5 Prompt Engineering Secrets For Beginners
- CMU Advanced NLP 2022: Prompting
- Prompt Engineering - A new profession ?
- ChatGPT Guide: 10x Your Results with Better Prompts
- Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP
- Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting