Productionizing Embeddings: Challenges and a Path Forward

April 30, 2024

Embeddings – condensed, rich representations of unstructured data – have emerged as a transformative technique for unlocking the full potential of both predictive and generative AI. In business-critical predictive AI applications like fraud …

Put Hugging Face Embeddings Into Production With Tecton

March 3, 2022

Embeddings have proven to be some of the most important features used in machine learning, enabling machine learning algorithms to learn efficient representations of complex data. Many embeddings,  in particular embeddings of audio, text or …

Introducing Array Type Features

November 8, 2021

We’re excited to announce that Tecton now natively supports Array type features. Our customers are now deploying array features in operational machine learning models. In this article, we’ll go through (1) how arrays are commonly used in …