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Awesome Generative AI

A curated list of generative AI resources including models, tools, tutorials and research for quick discovery and learning.

Overview

“Awesome Generative AI” is a community-maintained open-source collection that aggregates models, tools, courses and research in generative AI to help readers quickly find high-quality resources and follow recent developments.

Key features

  • Broad coverage: curated resources across text, image, audio, video and multimodal domains.
  • Regular updates: entries highlight recent contributions and active projects.
  • Community-driven: accepts PRs and links to many open-source implementations and tutorials.

Use cases

  • Learning and onboarding: a practical starting point for systematic study of generative AI.
  • Research and engineering: quick lookup of implementations, benchmarks and tooling.
  • Course preparation: gather references and materials for teaching.

Technical highlights

  • Structured sections: organized by topic and task (LLMs, image synthesis, prompt engineering, etc.) for easy navigation.
  • Reproducibility focus: many entries link to GitHub repos, Colab notebooks and live demos.
  • Mixed resource types: includes papers, implementations, tools, datasets and tutorials.

Comments

Awesome Generative AI
Resource Info
🌱 Open Source 🎓 Course 🗃️ Collection