This repository serves as a curated, evolving knowledge base for software engineers and enthusiasts seeking to understand the rapidly advancing field of AI, particularly generative models and LLMs. It aggregates notes, resources, and discussions to facilitate learning and product development in AI engineering.

How It Works

The project functions as a comprehensive, markdown-based literature review and resource hub. It categorizes information into distinct markdown files covering specific AI domains like text generation, image generation, infrastructure, and audio processing. The content is a mix of raw notes, canonical references, and curated links to papers, blog posts, and community discussions, aiming to provide a structured yet dynamic overview of the AI landscape.

Quick Start & Requirements

This repository is a collection of markdown files and links, requiring no installation or specific software. Access is via a web browser to view the content.

Highlighted Details

• Extensive coverage of image generation models like Stable Diffusion, Midjourney, and DALL-E, including prompt engineering and use cases.
• Detailed notes on Large Language Models (LLMs), including architecture, training, scaling laws, and emergent abilities.
• Curated lists of top AI reads, researchers, communities, and companies to follow.
• Includes discussions on AI ethics, legal considerations, and potential AI winters.

Maintenance & Community

The repository is maintained by swyxio and is a primary source for the latent.space newsletter. It links to various AI-focused Discord communities and Twitter lists for ongoing engagement and updates.

Licensing & Compatibility

The repository content is primarily licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), allowing for non-commercial use and sharing with attribution. Commercial use or linking to closed-source products may require careful review of specific content licenses.

Limitations & Caveats

The content is a personal collection and may reflect the maintainer's biases or focus areas. While comprehensive, it is not an exhaustive academic survey and may not cover all emerging AI developments or provide formal academic citations for every piece of information.