AI Learning Notes & Resources

Table of Contents

• Core Concepts
• Model Research
• Prompt Engineering
• Tools & Frameworks
• Other Resources

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Core Concepts

• agent.md: Notes on the fundamental concepts, architectures, and implementations of AI Agents.
• sampler.md: A deep dive into common sampling methods (Samplers) used in image generation and LLMs.

Model Research

• mem0 - zh.md: Chinese translation and study notes for the paper "Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory".
• image-model.md: Principles, features, and comparisons of major image generation models like Stable Diffusion, Midjourney, etc.
• music-model.md: Technical details and user experiences with music generation models such as Suno and Udio.
• segment-anything-model.md: Research and analysis of Meta AI's Segment Anything Model (SAM).

Prompt Engineering

• llm-prompt.md: Design principles and advanced techniques for prompting general-purpose Large Language Models (LLMs).
• image-prompt.md: Prompt structures, keywords, and stylization guides specifically for image generation models.
• deepseek-r1-system-prompt.md: Analysis of the system-level prompt for the DeepSeek R1 model.

Tools & Frameworks

• comfyui.md: Tutorials, node explanations, and workflow sharing for ComfyUI.

Other Resources

• good-website.md: A collection of useful websites and resource links for learning AI.