This is a great high-level overview of what's out there in the world of open source AI tools. Even though it covers a lot of ground, it's a quick read. No doubt there's so much more that could be said. Most useful is the introductory description of the 'AI stack' - "4 layers: infrastructure, model development, application development, and applications." We see the most open source projects at the application layer, and the further down the stack the harder it is for individuals to make contributions. Still, there's a ton of room here for individual innovators. Also from the same author: Machine Learning Developments and Operations (MLOps) Guide. See also: collection of open source and/or local AI tools and solutions.
Today: 3 Total: 19 [Direct link] [Share]
