This repository serves as a comprehensive resource map for Large Language Models (LLMs) and GPT-4, targeting young developers and individuals preparing for an AGI-centric future. It aggregates discussions, technical guides, investment and industry analyses, model and dataset resources, open-source applications, and relevant papers to foster understanding and navigation of AI technologies.
How It Works
The resource map is structured into eight categories, providing curated links to external resources. It includes direct links to WeChat and QQ discussion groups for various LLM topics (algorithms, investment, applications, compute power), technical deep dives into GPT-4 and ChatGPT, foundational LLM concepts like RLHF and Transformers, and practical application guides. It also lists open-source models (e.g., ChatGLM, LLaMA variants, BELLE), datasets, fine-tuning frameworks, and compression techniques.
Quick Start & Requirements
- Access: Primarily through curated links to external websites, GitHub repositories, and discussion groups.
- Prerequisites: Internet access, familiarity with AI/LLM concepts is beneficial for understanding the content. No direct installation or code execution is required from this repository itself.
- Resources: Links point to various platforms including Zhihu, GitHub, and specific AI research sites.
Highlighted Details
- Extensive collection of Chinese-language technical analyses and discussions on LLMs.
- Categorization of foundational models, multimodal models, and datasets with links to their respective GitHub repositories.
- Inclusion of practical guides for LLM application development and fine-tuning.
- Links to specific algorithms like RLHF, PPO, and concepts like Chain-of-Thought prompting.
Maintenance & Community
- Main author is CHEN Wei.
- Links to discussion groups (WeChat/QQ) are provided for community interaction.
Licensing & Compatibility
- The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0, common for resource aggregators), but the linked external resources and projects will have their own licenses. Users must verify compatibility for any specific project or dataset they choose to use.
Limitations & Caveats
- This is a curated list of external resources, not a functional codebase. The quality and maintenance of linked projects are independent of this repository.
- A significant portion of the content is in Chinese, which may be a barrier for non-Chinese speakers.