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Tool profile

NirDiamant/Prompt_Engineering

stable

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

aichain-of-thoughtchatgptclaudefew-shot-learninggenaigenerative-aigpt
Velocity score
0.44/ 10
[STARS]
7.7k
[FORKS]
985
[CONTRIBUTORS]
5
[LAST_COMMIT]
2d ago
OPEN_ON_GITHUB
Velocity class: stable
Is NirDiamant/Prompt_Engineering still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
649/ 1000
frameworks · NirDiamant/Prompt_Engineering
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
773
[INSTALL_VEL]
496
[ACTIVITY]
609
[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).

LIVE──────── · ──:──:── UTCabout