This repository curates tutorials and resources for Generative AI, focusing on Large Language Models (LLMs), AI Painting, and AI Audio. It serves as a comprehensive learning hub for beginners and advanced enthusiasts alike, offering structured pathways to understand and apply cutting-edge AI technologies.

How It Works

The collection is organized by AI domain, featuring links to university courses, online tutorials, and practical guides. It emphasizes hands-on learning through Jupyter notebooks, code labs, and project-based courses, covering theoretical underpinnings, practical applications, and system design for AI.

Quick Start & Requirements

• Access: Browse the curated list of resources directly from the README.
• Prerequisites: Varies by linked resource; many require Python, deep learning frameworks (TensorFlow, PyTorch), and potentially cloud platform knowledge (AWS, Google Cloud).
• Resources: Links to official course pages, DeepLearning.AI, Hugging Face, Stanford, CMU, MIT, and more.

Highlighted Details

• Extensive coverage of LLM topics, including prompt engineering, fine-tuning, and LangChain.
• Detailed sections on AI Painting with a focus on Stable Diffusion and art fundamentals.
• Resources for AI Audio, Multimodal AI, Deep Learning theory, and AI Systems.
• Includes links to academic courses from top universities like Stanford, CMU, and MIT.

Maintenance & Community

• Regularly updated with new courses and resources, as indicated by recent updates.
• Welcomes community contributions via a CONTRIBUTING.md file.
• Features "Friendship Links" to related AIGC resources.

Licensing & Compatibility

• The repository itself is not a software project with a license; it is a curated list of external resources.
• Licenses of linked external resources vary widely, from open-access academic materials to commercial courses.

Limitations & Caveats

This is a curated list of external resources, not a runnable software project. Users must individually access and comply with the terms and prerequisites of each linked tutorial or course.