Hi all, As the Beam ML and Beam YAML frameworks and communities continue to grow, there is a great opportunity to link these two together by introducing ML capabilities to Beam YAML. By integrating ML capabilities into Beam YAML, we can dramatically simplify the development and deployment of machine learning pipelines. This integration will enable users to leverage the power of Beam ML's rich transforms with little-to-no coding, reducing the barrier of entry and accelerating innovation.
I have created a design proposal for how RunInference could be leveraged in the Beam YAML syntax. https://docs.google.com/document/d/1z9lNlSBfqDVdOP1frJNv_NJoMR1F1VBI29wn788x6IE This is an exciting opportunity for the Beam community to collaborate and shape the future of ML with Beam YAML. I encourage everyone to share their ideas and help us build a powerful and user-friendly framework for machine learning. Thanks, - Jeff
