NirDiamant/Prompt_Engineering

This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.

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This project provides tutorials and practical examples for crafting effective instructions to large language models (LLMs). It helps AI developers and practitioners learn how to structure their input so that AI models produce more accurate, relevant, and useful outputs. You'll find guidance on what to include in your prompts and how to refine them for better results.

7,253 stars. Actively maintained with 9 commits in the last 30 days.

Use this if you are a developer, data scientist, or AI practitioner building applications with large language models and want to improve the quality of the AI's responses.

Not ideal if you are a casual user looking for pre-built prompts to solve a specific, non-technical task, rather than learning the underlying techniques.

AI-development natural-language-processing machine-learning-engineering LLM-fine-tuning
No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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7,253

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934

Language

Jupyter Notebook

License

Last pushed

Feb 17, 2026

Commits (30d)

9

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