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NirDiamant/Prompt_Engineering

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.

6.0
GitHub Metrics
Stars
7.8k
Forks
1.0k
Open Issues
4
Watchers
90
Contributors
6
Weekly Commits
0
Language
Jupyter Notebook
License
NOASSERTION
Last Commit
Aug 19, 2026
Created
Oct 10, 2024
Latest Release
Release Date
Synced: Aug 28, 2026
Quality Scores
Documentation Qualityw: 20%
5.1

No dedicated docs site. Description: 323 chars. Stars signal: 7,820. Contributors: 6. Score: 5.1/10

Community Healthw: 20%
6.3

Stars: 7,820. Contributors: 6. Watchers: 90. Forks: 1,018. Issue ratio: 0.1%. Score: 6.3/10

Maintenance Velocityw: 15%
5.6

Last commit: 8d ago. Weekly commits: 0. No releases published. Maturity bonus: 1.9y old. Score: 5.6/10

API Design & DXw: 20%
6.9

Stars/issues ratio: 1955. No dedicated API docs. License: NOASSERTION. Popularity signal: 7,820 stars. Score: 6.9/10

Production Readinessw: 15%
5.5

Battle-tested: 7,820 stars. Peer review: 6 contributors. No versioned releases. Licensed: NOASSERTION. Age: 1.9 years. Maintenance: last commit 8d ago. Score: 5.5/10

Ecosystem Integrationw: 10%
7.0

Fork interest: 1,018. Ecosystem: Jupyter Notebook. License: NOASSERTION. Adoption: 7,820 stars. Score: 7/10

Tags
aigenaillmllmsopeaniprompt-engineeringpythontutorials
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration