prompt-engineering-note and Prompt-Engineering-by-OpenAI

These tools are competitors, as both are educational resources, likely GitHub repositories, offering notes or courses on prompt engineering, implying a user would choose one over the other for learning.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 19/25
Stars: 263
Forks: 38
Downloads: โ€”
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 39
Forks: 20
Downloads: โ€”
Commits (30d): 0
Language: Jupyter Notebook
License: โ€”
Stale 6m No Package No Dependents
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About prompt-engineering-note

isLinXu/prompt-engineering-note

๐Ÿ”ฅ๐Ÿ””prompt-engineering-note๐Ÿ””๐Ÿ”ฅ

Comprehensive learning resource covering LLM fundamentals and prompt engineering best practices through bilingual notes, Jupyter notebooks, and CLI tools for OpenAI API integration. Includes practical examples for summarization, inference, text transformation, and chatbot development, with code runnable directly against OpenAI's API. Supplements the DeepLearning.AI course with curated translations, ChatGPT-generated summaries, executable Python scripts, and a curated project directory for the prompt engineering ecosystem.

About Prompt-Engineering-by-OpenAI

ArslanKAS/Prompt-Engineering-by-OpenAI

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

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