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NirDiamant/Prompt_Engineering

stable

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

aichatgptclaudegenailangchainllmllmsopenai
Velocity score
0.34/ 10
[STARS]
7.5k
[FORKS]
968
[CONTRIBUTORS]
5
[LAST_COMMIT]
25d ago
OPEN_ON_GITHUB
Velocity class: stable
30-day stars
0.34/ 10 score
last 33d
[SIGNAL_TRACE / 33_PT]
Score breakdown
685/ 1000
frameworks · NirDiamant/Prompt_Engineering
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
888
[INSTALL_VEL]
496
[ACTIVITY]
461
[COMMUNITY_SIGNAL]
456

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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