Research Compendium & Knowledge Base
3.4k 2026-04-18
DSXiangLi/DecryptPrompt
A comprehensive open-source resource hub summarizing LLM and Prompt Engineering research papers, datasets, models, and AIGC applications.
Core Features
Curated collection of open-source LLM models and evaluation benchmarks.
Summaries of open-source frameworks for inference, fine-tuning, Agent, RAG, and prompt engineering.
Lists of open-source datasets for SFT, RLHF, and pre-training.
Comprehensive overview of AIGC applications across various domains.
In-depth blog series decrypting advanced Prompt, LLM, Agent, and RAG techniques.
Detailed Introduction
DecryptPrompt serves as an invaluable knowledge base for AI academics and practitioners navigating the rapidly evolving landscape of Large Language Models (LLMs) and AIGC. It meticulously curates and summarizes cutting-edge research papers, open-source models, datasets, and frameworks related to prompt engineering, fine-tuning, RAG, and AI Agents. Through its extensive blog series, the project breaks down complex concepts into digestible insights, offering practical guidance and theoretical understanding for anyone looking to master LLM technologies and their diverse applications.