"The state of open source AI" features Casper, a contributor to the new open source AI book from PremAI. They discuss navigating the open source AI ecosystem, including topics like fine-tuning and vector DBs. The hosts also talk about open source generative AI models, the impact of chat GPT, and the future of democratizing data models in AI. Finally, they encourage involvement in the open source AI community and thank the sponsors.
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Quick takeaways
Understanding licensing and accessibility is crucial when considering open-source AI models.
Fine-tuning models and improving usability are important aspects of the open-source AI ecosystem.
Deep dives
Open source AI enthusiast talks about the state of open source AI
Casper, a long-time open-source AI enthusiast and contributor to the book 'State of Open Source AI', discusses his journey into open source AI and the motivation behind the book.
Understanding the different flavors of openness in AI models
Casper explains the distinction between aligned and unaligned models and highlights the importance of understanding the licensing and accessibility of model weights, training data, and output for developers considering open-source AI models.
Exploring the components of the open-source AI ecosystem
The podcast covers key components of the open-source AI ecosystem beyond models, including hardware advancements, MLOps tools, desktop applications, and the importance of fine-tuning models for commercial value.
The future of open-source AI and areas of interest
Casper discusses his excitement for fine-tuning models and lowering entry barriers, while expressing skepticism about the current hype around AI approaches and AGI. He also mentions interest in improving usability and visual representation of AI pipelines in desktop apps.
The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.
During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs & more.
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