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README.md |
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
- Prompt Engineering 101
- Prompt Engineering Guide by SudalaiRajkumar
Beginner's Guide to Generative Language Models
- A beginner-friendly guide to generative language models - LaMBDA guide
- Generative AI with Cohere: Part 1 - Model Prompting
Best Practices for Prompt Engineering
Complete Guide to Prompt Engineering
- A Complete Introduction to Prompt Engineering for Large Language Models
- Prompt Engineering Guide: How to Engineer the Perfect Prompts
Technical Aspects of Prompt Engineering
- 3 Principles for prompt engineering with GPT-3
- A Generic Framework for ChatGPT Prompt Engineering
- Methods of prompt programming
Resources for Prompt Engineering
- Awesome ChatGPT Prompts
- Best 100+ Stable Diffusion Prompts
- DALLE Prompt Book
- OpenAI Cookbook
- Prompt Engineering by Microsoft
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