prompt-engineering-note and ChatGPT-Prompt-Engineering-for-Developers

One project is a note collection related to prompt engineering, while the other is a course specifically for prompt engineering in ChatGPT; therefore, they are complementary, as the notes could supplement the course material.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 7/25
Maturity 1/25
Community 20/25
Stars: 263
Forks: 38
Downloads: โ€”
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 25
Forks: 23
Downloads: โ€”
Commits (30d): 0
Language: Jupyter Notebook
License: โ€”
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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 ChatGPT-Prompt-Engineering-for-Developers

Ryota-Kawamura/ChatGPT-Prompt-Engineering-for-Developers

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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