Open Source AI Gap Map

Current AI launched the Open Source AI Gap Map v0.1, indexing 421 open source AI products including software tools, models, datasets, and hardware from 228 organizations. The underlying data, released under an MIT license on GitHub, includes 1,184 YAML files and tracks 16,185 repositories, providing a comprehensive view of the open source AI ecosystem.

They launched their Gap Map https://www.currentai.org/blogs/introducing-the-gap-map-v0-1 a couple of days ago - an attempt at indexing the current state of open source AI: The Gap Map v0.1 details 421 products in depth: 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects, produced by 228 organizations. These products are organized into 14 categories across 3 layers of the stack model components, product / UX, and infrastructure . The remaining 24,400 artifacts constitute the uncategorized long tail of the open source AI ecosystem, and will carry no score until they are researched and cited. The map itself is interesting to explore, but I'm more excited about the underlying data - released under an MIT license in the currentai-org/os-ai-map https://github.com/currentai-org/os-ai-map GitHub account: 1,184 YAML files plus the notebooks, schemas and other scripts used to help gather them. Since the files are on GitHub you can use Datasette Lite to explore some of them - here are 16,185 GitHub repos the project is tracking https://lite.datasette.io/?csv=https://github.com/currentai-org/os-ai-map/blob/main/warehouse/catalog/goodailist/repos.csv /data/repos? sort desc=stars as a CSV file loaded into Datasette Lite. Tags: open-source https://simonwillison.net/tags/open-source , ai https://simonwillison.net/tags/ai , datasette-lite https://simonwillison.net/tags/datasette-lite , generative-ai https://simonwillison.net/tags/generative-ai , local-llms https://simonwillison.net/tags/local-llms , llms https://simonwillison.net/tags/llms