Practical AI The state of open source AI
17 snips
Dec 12, 2023 
Casper da Costa-Luis, a contributor to the State of Open Source AI book and an open source enthusiast, shares his insights on navigating the complex world of open source AI. He discusses the importance of community collaboration and adaptable strategies in the evolving AI landscape. The conversation dives into the role of vector databases in enhancing AI applications and practical tips for users to leverage open source resources effectively. Casper also encourages listeners to engage with the community, highlighting how every contribution matters.
AI Snips
Chapters
Books
Transcript
Episode notes
Categorizing Open Source AI
- Open-source AI is challenging to categorize due to its interconnected nature.
- The book's chapters focus on distilling key ideas rather than strict categorization.
Reviewing Licenses
- Review licenses, especially regarding model weights, training data, and output.
- Consider explainability and alignment when assessing model openness.
Aligned vs. Unaligned Models
- Unaligned models are trained on data without safeguards.
- Aligned models incorporate safeguards to prevent harmful outputs.
