In this episode of the Ruby AI Podcast, hosts Valentino Stoll and Joe Leo welcome AI and Ruby expert Chris Hasinski. They delve into the benefits and challenges of self-hosting AI models, including control over model updates, cost considerations, and the ability to fine-tune models. Chris shares his journey from machine learning at UC Davis to his extensive work in AI and Ruby, touching upon his contributions to open source projects and the Ruby AI community. The discussion also covers the li...
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In this episode of the Ruby AI Podcast, hosts Valentino Stoll and Joe Leo welcome AI and Ruby expert Chris Hasinski. They delve into the benefits and challenges of self-hosting AI models, including control over model updates, cost considerations, and the ability to fine-tune models. Chris shares his journey from machine learning at UC Davis to his extensive work in AI and Ruby, touching upon his contributions to open source projects and the Ruby AI community. The discussion also covers the li...
Seventeen-year Ruby veteran Justin Bowen joins hosts Valentino Stoll and Joe Leo to unveil Active Agent—a Rails-native framework that treats every agent like a controller and every prompt like a view, letting you weave LLMs, vector search, and business logic straight into MVC. The crew also digs into the real-world mechanics of shipping AI: defining ground-truth datasets, replay-ready evaluation harnesses, and tight retry logic that keeps hallucinations out of production. You’ll hear a candid...
The Ruby AI Podcast
In this episode of the Ruby AI Podcast, hosts Valentino Stoll and Joe Leo welcome AI and Ruby expert Chris Hasinski. They delve into the benefits and challenges of self-hosting AI models, including control over model updates, cost considerations, and the ability to fine-tune models. Chris shares his journey from machine learning at UC Davis to his extensive work in AI and Ruby, touching upon his contributions to open source projects and the Ruby AI community. The discussion also covers the li...
