DSXiangLi/DecryptPrompt
DecryptPrompt is a Chinese-language curated collection of LLM and prompt-engineering papers, open-source models, datasets, and frameworks.
Not currently ranked — collecting fresh signals.
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The repository aggregates resources across the LLM lifecycle: it links to open-source models and evaluation benchmarks, fine-tuning and inference frameworks (including Agent, RAG, and LoRA tools), pre-training and RLHF datasets, and AIGC application summaries. It also hosts a blog series walking through seminal papers on prompt tuning, instruction tuning, chain-of-thought reasoning, and preference alignment, making it a study guide for researchers and practitioners engaging with LLM research.
Frequently asked
- What is DSXiangLi/DecryptPrompt?
- DecryptPrompt is a Chinese-language curated collection of LLM and prompt-engineering papers, open-source models, datasets, and frameworks.
- Is DecryptPrompt open source?
- Yes — DSXiangLi/DecryptPrompt is an open-source project tracked on heatdrop.
- How popular is DecryptPrompt?
- DSXiangLi/DecryptPrompt has 3.4k stars on GitHub.
- Where can I find DecryptPrompt?
- DSXiangLi/DecryptPrompt is on GitHub at https://github.com/DSXiangLi/DecryptPrompt.