This repository is an extensive, curated list of public projects, papers, and resources related to Large Language Models (LLMs), Vision Language Models (VLMs), AI Generated Content (AIGC), and their applications. It serves as a comprehensive knowledge base for researchers, developers, and enthusiasts in the AI field.

How It Works

The repository is structured into numerous categories, covering LLM frameworks, architectures, inference engines, quantization techniques, application development platforms, RAG frameworks, vector databases, and more. It also includes sections on Vision Language Action (VLA), AI Generated Content (AIGC), datasets, performance analysis, learning resources, and community links. The content is a vast collection of links to GitHub repositories, research papers, blogs, and official documentation.

Quick Start & Requirements

This repository is a curated list and does not have a direct installation or execution command. Users can browse and access the linked projects and resources.

Highlighted Details

• Extensive coverage of LLM and AIGC topics, from foundational models to advanced applications.
• Includes implementations and research in various programming languages like C++, Rust, and Go.
• Features a broad range of AI applications, including code assistants, chatbots, autonomous driving, and robotics.
• Dedicated sections for datasets, performance analysis, and learning resources provide a holistic view of the AI landscape.

Maintenance & Community

The repository is maintained by coderonion and appears to be community-driven, with numerous contributions and links to various AI communities and platforms like Hugging Face and ModelScope.

Licensing & Compatibility

The licensing varies by the individual projects linked within the repository. Users must refer to the specific licenses of each project for compatibility and usage terms.

Limitations & Caveats

As a curated list, the quality and maintenance status of individual linked projects can vary. Users should exercise due diligence when exploring and adopting any of the listed resources.