Awesome-AIGC  by wshzd

A curated list of AIGC resources for learning and staying up-to-date

created 2 years ago
839 stars

Top 43.3% on sourcepulse

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Project Summary

This repository serves as a curated collection of resources on Artificial Intelligence Generated Content (AIGC), focusing on large language models (LLMs) like ChatGPT and GPT-4. It aims to provide researchers, developers, and enthusiasts with organized access to papers, code, blogs, and discussions related to AIGC advancements, applications, and challenges.

How It Works

The repository categorizes a vast amount of information related to AIGC, including LLM evaluations, domain-specific applications (legal, medical, finance), text detection, long-context solutions, controllability, safety, training, fine-tuning, optimization, and deployment. It also covers prompt engineering, AGI tools, and specific models like GPT-4, LLaMA, and others, along with image, video, code, and speech generation.

Quick Start & Requirements

  • Installation: Primarily a resource aggregator; no direct installation required. Users access linked papers, code repositories, and blogs.
  • Prerequisites: Access to the internet to view linked resources. Some linked code repositories may have specific Python, PyTorch, or TensorFlow requirements.
  • Setup Time: Minimal, as it's a curated list. Time is spent exploring the linked resources.

Highlighted Details

  • Comprehensive coverage of LLM research, from foundational models to advanced techniques like RLHF and QLoRA.
  • Extensive lists of benchmarks, evaluation metrics, and leaderboards for various LLMs.
  • Detailed sections on specific AIGC applications, including code generation, image/video synthesis, and domain-specific adaptations.
  • Curated resources on prompt engineering, model safety, and ethical considerations in AIGC.

Maintenance & Community

  • The repository is actively maintained and updated, indicated by the "持续更新" (continuous updates) statement.
  • A WeChat group is available for technical exchange, suggesting an active community.

Licensing & Compatibility

  • Resource licensing varies by the original source of the linked content. Many linked code repositories are under permissive licenses (MIT, Apache 2.0), while others may have more restrictive licenses.
  • Compatibility for commercial use depends on the licenses of individual linked projects.

Limitations & Caveats

The repository is a collection of links and does not host the actual code or papers. Users must navigate to external sources, which may have their own dependencies, licensing, or availability issues. The sheer volume of information may require significant effort to sift through and identify the most relevant resources.

Health Check
Last commit

1 year ago

Responsiveness

Inactive

Pull Requests (30d)
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Issues (30d)
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Star History
26 stars in the last 90 days

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