A New Era of Creativity: Expert-in-the-loop Generative AI at Stitch Fix
How Stitch Fix uses an expert-in-the-loop approach with generative AI to drive innovation.
How Stitch Fix uses an expert-in-the-loop approach with generative AI to drive innovation.
Go's generics solve a previously-unsolvable problem with interfaces, but awkwardly
A sampling of the projects and areas of research done by our 2022 interns.
How Stitch Fix enables data scientists to do more, by doing less.
A Multi-Target Recommender System that is a significant improvement for both the quality of our recommendations and the maintainability of our systems
Algo Hour, Oct 11th, 2022 - Featuring Alessya Visnjic from whyLogs!
Our stylists' expertise is a differentiator for Stitch Fix. Here is how we take that expertise into account when designing algorithmic systems.
Understanding recomposition in Jetpack Compose is critical to optimizing application performance. Here are some "gotchas" to avoid.
How configuration driven Machine learning pipelines help streamline the model development at Stitch Fix.
In late 2021 we released Hamilton, Stitch Fix’s open-source microframework for managing dataflows. With feedback from the community, we’ve implemented an exciting new feature -- the ability to validate the data hamilton generates! In this post we detail the new capabilities and talk a little bit about next steps.