The ins and outs of open source for AI (Practical AI #95)

Daniel and Chris get you Fully-Connected with open source software for artificial intelligence.
In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, Bluesky, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• General discussion of AI and open source code/data/model
• How to experiment with open source tools/data
• What are easy ways to start contributing
• What are ways to contribute to open source AI other than contributing to key projects?

Sources:

• GitHub
• Papers With Code
• Semantic Scholar
• Google Dataset Search
• Data.gov

Learning resources:

• Guide to making your first open source contribution

Something missing or broken? PRs welcome!