22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Learn and practice various techniques for crafting effective prompts for AI models.
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Free · no card · unsubscribe anytime22 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.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Prompt_Engineering is an open-source project.
Yes. Prompt_Engineering is free and open source — you can use, modify and self-host it.
Prompt_Engineering is written mainly in Jupyter Notebook.
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