Awesome-Prompt-Engineering and Prompt-Engineering-Jumpstart

These are complements: the comprehensive curated resource collection pairs with an accessible beginner's guide to serve different entry points into prompt engineering—one for breadth of reference materials and one for foundational learning.

Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 6/25
Adoption 9/25
Maturity 13/25
Community 15/25
Stars: 5,537
Forks: 595
Downloads:
Commits (30d): 21
Language: Python
License: Apache-2.0
Stars: 109
Forks: 15
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About Awesome-Prompt-Engineering

promptslab/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

This is a curated collection of resources for anyone looking to improve how they interact with Large Language Models (LLMs) like ChatGPT or PaLM. It gathers papers, tools, models, APIs, and courses related to 'prompt engineering' and 'context engineering.' The goal is to help users get better, more specific, or more creative outputs from these AI models.

AI interaction Generative AI LLM application Content creation AI workflow

About Prompt-Engineering-Jumpstart

arorarishi/Prompt-Engineering-Jumpstart

Prompt Engineering Jumpstart: The simplest beginner's guide to talking with AI. Learn universal prompt engineering principles with simple analogies & copy-paste examples for ChatGPT & DALL-E. No tech skills needed. Free, open-source eBook.

This guide teaches you how to get precise, high-quality answers and outputs from AI tools like ChatGPT or DALL-E. It takes your vague questions and transforms them into clear, structured instructions that yield predictable results. Anyone who uses AI for writing, content creation, analysis, or general assistance, from students to marketers and business professionals, will find this helpful.

AI-usage content-creation digital-marketing writing research-assistance

Scores updated daily from GitHub, PyPI, and npm data. How scores work