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Prompt_Engineering
Jupyter Notebook

Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

by NirDiamant · GitHub
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aichain-of-thoughtchatgptJupyter Notebook
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Learn and practice various techniques for crafting effective prompts for AI models.

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2026-07-042026-08-31
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22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Prompt_Engineering has 7.8k stars on GitHub. It has been forked 1k times. Prompt_Engineering is written mainly in Jupyter Notebook. It has been in active development since 2024. Its main topics are ai, chain-of-thought, chatgpt, claude.

Frequently asked questions

What is Prompt_Engineering?

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Is Prompt_Engineering open source?

Prompt_Engineering is an open-source project.

Is Prompt_Engineering free?

Yes. Prompt_Engineering is free and open source — you can use, modify and self-host it.

What language is Prompt_Engineering written in?

Prompt_Engineering is written mainly in Jupyter Notebook.

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