AGI-Papers  by gyunggyung

Papers for AGI research

created 5 years ago
286 stars

Top 92.5% on sourcepulse

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Project Summary

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

  • Access: Browse the README for links to papers, code repositories, and discussions.
  • Prerequisites: Familiarity with machine learning concepts, natural language processing, and Transformer architectures is beneficial. Access to research papers may require institutional subscriptions or pre-print repositories like arXiv.
  • Resources: The repository itself requires no installation. However, understanding the papers may necessitate computational resources for running associated code or models.

Highlighted Details

  • Comprehensive coverage of LLM advancements, from foundational papers to cutting-edge research.
  • Inclusion of code repositories and technical reports for many listed papers.
  • Focus on emerging areas like multimodal AI, agentic systems, and efficient LLM training.
  • Historical context provided through a timeline of significant NLP and LLM publications.

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.

Health Check
Last commit

10 months ago

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Inactive

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6 stars in the last 90 days

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