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https://issues.apache.org/jira/browse/COMDEV-521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pablo Estrada updated COMDEV-521:
---------------------------------
    Description: 
Today, you can do all sorts of Machine Learning using Apache Beam 
([https://beam.apache.org/documentation/ml/overview/]).
 
Many of our users, however, have a hard time getting started with ML and 
understanding how Beam can be applied to their day to day work. The goal of 
this project is to build out a series of Beam pipelines as Jupyter Notebooks 
demonstrating real world ML use cases, from NLP to image recognition to using 
large language models. As you go, there may be bugs or friction points as well 
which will provide opportunities to contribute back to Beam's core ML libraries
 
 

  was:
Beam library developers and Beam users would appreciate this : )

 

This project involves prototyping a few different solutions, so it will be 
large.


> [GSoC][Beam] Build out Beam Machine Learning Use Cases
> ------------------------------------------------------
>
>                 Key: COMDEV-521
>                 URL: https://issues.apache.org/jira/browse/COMDEV-521
>             Project: Community Development
>          Issue Type: Task
>          Components: GSoC/Mentoring ideas
>            Reporter: Pablo Estrada
>            Priority: Major
>              Labels: Beam, full-time, gsoc, gsoc2023
>
> Today, you can do all sorts of Machine Learning using Apache Beam 
> ([https://beam.apache.org/documentation/ml/overview/]).
>  
> Many of our users, however, have a hard time getting started with ML and 
> understanding how Beam can be applied to their day to day work. The goal of 
> this project is to build out a series of Beam pipelines as Jupyter Notebooks 
> demonstrating real world ML use cases, from NLP to image recognition to using 
> large language models. As you go, there may be bugs or friction points as 
> well which will provide opportunities to contribute back to Beam's core ML 
> libraries
>  
>  



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