TensorFlow

AI Data Science Red Hat

Open Data Hub – the origin story (part 2)

In part 2 of the Open Data Hub origin story, fellow Red Hatters Steven Huels and Sherard Griffin describe some of the technical challenges and growth of the Open Data Hub AI meta-project, evolving Elastic Search to multiple data discovery technologies. The evolution to a commercial service offering, Red Hat OpenShift Data Science is also […]

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AI Data Red Hat

Open Data Hub – the origin story (part 1)

Fellow Red Hatters Steven Huels and Sherard Griffin describe how the Open Data Hub meta-project grew from solving practical CI/CD build challenges to where it is today – providing an integrated blueprint stitching together over 20 open source AI tools for running large and distributed AI workloads on OpenShift. Part 1 of a 2 part […]

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AI Neural Networks

Transfer learning and Transformer models (ML Tech Talks)

In this session of Machine Learning Tech Talks, Software Engineer from Google Research, Iulia Turc, will walk us through the recent history of natural language processing, including the current state of the art architecture, the Transformer.

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Databricks TensorFlow

Quick to Production with Minimal MLOps with the Best of Spark and TensorFlow

In this session, learn how we can get deep learning and ml models with TensorFlow into production quickly right after prototyping. Using TensorFlow with big datasets in a distributed setting has been an issue for small teams like ours due to complicated MLOps code, but with what we cover in the talk, we could now […]

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