DecryptPrompt aggregates and links resources on prompt engineering, LLMs, and AIGC research, with a Chinese-language focus and multiple reference collections. It has 3430 stars and 1 open issue as of the provided data.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
DecryptPrompt appears to be a repository that curates and points to materials related to prompts, LLMs, paper lists, frameworks, datasets, and AIGC applications. It provides a structured set of links to various open resources and tutorials.
How it works
The README organizes content into categorized sections with links to external documents and articles, including:
- LLM resources and evaluation lists
- Open-source frameworks for reasoning, inference, agent frameworks, RAG, and prompt frameworks
- Open-source SFT, RLHF, and pretraining datasets
- Application overviews in different AIGC domains
- Tutorial blog posts and papers series The repository itself does not appear to host code or executable tooling; it serves as a hub for references.
Getting started
The repository does not include explicit installation or usage instructions in the provided excerpt. It provides navigational links to various Markdown files and articles. The README begins with: "# DecryptPrompt\n> 如果LLM的突然到来让你感到沮丧，不妨读下主目录的Choose Your Weapon Survival Strategies for Depressed AI Academics\n持续更新以下内容，Star to keep updated~"
Recent releases
RELEASES (latest 0):
- none
Traction
Stars: 3430 Forks: 320 Open issues: 1
Behind the repo
No linked startup or company information is present in the provided facts.
Caveats
License: none listed Created: 2023-02-10 Last push: 2026-05-06 Language: - (not specified)
Notes:
- The README sections referenced provide external references rather than in-repo code or runnable tooling.
- Commands for installation or usage are not present in the truncated excerpt, so no install/usage commands can be quoted beyond what's shown here.