This repository serves as a curated collection of papers and resources for individuals interested in Artificial General Intelligence (AGI) and Large Language Models (LLMs). It aims to provide a structured learning path for newcomers and a reference for experienced researchers by compiling key publications, code, and discussions on LLM advancements, multimodal AI, and related fields.
How It Works
The repository is organized as a living document, continuously updated with recent papers and discussions. It covers a broad spectrum of LLM-related topics, including efficient pre-training, multimodal integration, self-improvement, and novel architectures like Mamba. The collection emphasizes practical applications and theoretical underpinnings, drawing from major research institutions and companies.
Quick Start & Requirements
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Maintenance & Community
The repository is actively maintained, with frequent updates reflecting the rapid pace of LLM research. It fosters a community through discussions and collaborative learning, with a stated goal of sharing knowledge and promoting research.
Licensing & Compatibility
The repository itself does not host code or papers but links to external resources. The licensing of linked papers and code varies; many are released under permissive licenses (e.g., MIT), while others may have more restrictive terms or be proprietary.
Limitations & Caveats
The sheer volume of information can be overwhelming for beginners. While the repository aims for comprehensiveness, the rapidly evolving nature of the field means it may not always capture the absolute latest publications immediately. The "AGI" focus is broad and encompasses many sub-fields.
10 months ago
Inactive