In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of the year across various intriguing domains. 🌐
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Popularity
Repository stars1,48355,096Highest
7-day net stars——
Fork756,399Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2023-12-132024-09-18
Maintenance notesNot verifiedNot verified
Repository created2023-12-122023-03-23
License & use
LicenseLicense not declaredApache-2.0 · Permissive
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Jupyter Notebook
About this projectIn the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of the year across various intriguing domains. 🌐The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Measured at2026-11-02 19:01 UTC2026-11-03 08:27 UTC
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