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NPrompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Popularity
Repository stars7,919376,550Highest
7-day net stars——
Fork1,03559,129Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-312026-09-15
Maintenance notesNot verifiedUnknown
Repository created2024-10-102017-02-26
License & use
LicenseLicense not declaredLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeTutorialsReference material · Tutorials
TypeGuides & collectionsGuides & collections
SubcategoryAdvanced guidesAdvanced guides
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguageJupyter NotebookPython
About this project22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.Collect system-design concepts, examples and study material.
Measured at2026-11-02 19:00 UTC2026-11-02 18:45 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.