The ins and outs of open source for AI
· 47 min · Episode 95
Episode The ins and outs of open source for AI
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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• Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. • The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. • Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog.
Featuring:
• Chris Benson – Website, GitHub, LinkedIn, 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
Upcoming Events:
• Register for upcoming webinars here!
Links in the notes 19
- https://linode.com/changelog
- https://brave.com/cha913
- https://basicattentiontoken.org
- https://changelog.com
- https://rollbar.com/changelog
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://github.com
- https://paperswithcode.com
- https://www.semanticscholar.org
- https://datasetsearch.research.google.com
- https://www.data.gov
- https://medium.com/@jenweber/your-first-open-source-contribution-a-step-by-step-technical-guide-d3aca55cc5a6
- https://practicalai.fm/webinars
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