DecryptPrompt is a comprehensive resource for understanding and applying Large Language Models (LLMs), targeting researchers, engineers, and practitioners. It aims to demystify LLM advancements by consolidating research papers, open-source models, datasets, and practical applications across various AIGC domains.

How It Works

The project acts as a curated knowledge base, meticulously organizing and summarizing a vast array of LLM-related research. It categorizes information by key LLM concepts such as Prompting techniques (e.g., Chain-of-Thought, Instruction Tuning), Reinforcement Learning from Human Feedback (RLHF), Agent frameworks (e.g., ReAct, Toolformer), Retrieval-Augmented Generation (RAG), and domain-specific applications. This structured approach allows users to navigate complex LLM topics efficiently.

Quick Start & Requirements

This repository is primarily a curated list of resources and research papers, not a runnable software project. It requires no installation but benefits from familiarity with LLM concepts and research literature. Links to relevant papers, code repositories, and datasets are provided throughout the README.

Highlighted Details

• Extensive collection of over 50 "Decrypt Prompt" series articles, detailing various LLM prompting and reasoning techniques.
• Comprehensive lists of mainstream LLMs, pre-training datasets, and evaluation benchmarks.
• Detailed breakdowns of LLM Agent architectures, tool usage, and domain-specific applications (e.g., finance, biomedical).
• In-depth coverage of RAG strategies, including query optimization, ranking, and dynamic retrieval.

Maintenance & Community

The repository is actively maintained by DSXiangLi, with a clear call to "Star to keep updated." It serves as a community hub for sharing and discussing LLM advancements.

Licensing & Compatibility

The repository itself does not specify a license, but it aggregates links to various open-source projects and research papers, each with its own licensing. Users should consult the licenses of individual linked resources.

Limitations & Caveats

As a curated list, DecryptPrompt does not provide executable code or direct model access. Its value is in its comprehensive organization of external resources, requiring users to follow links and engage with individual projects.