Deploying a News Summarizer RSS Feed App | NLP Workshop Capstone

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=mVaSX-C38GA


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Duration: 10:28
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This video is created by the participants of our NLP workshop. You can create applications like this too; see more details here: https://ai.science/

In this video we present a simple proof-of-concept of how a baseline text summarization model can be packaged and deployed as an API, using a combination of MLFlow, Flask, Docker and Heroku, to create an app that creates article summaries from RSS feeds.
Using MLFlow for packaging allows the summarization model to be replaced easily with a more sophisticated deep learning technique further down the line, and docker allows us to maintain a consistent backend environment if we want to scale up our platform.

Team:
https://www.linkedin.com/in/yensonlau/
https://www.linkedin.com/in/mahya-k/
https://www.linkedin.com/in/shaheenbundhoo/
https://www.linkedin.com/in/shahrzad-hosseini/



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Tags:
deep learning
machine learning
natural language processing
nlp
ai
rss
news
summarization
mlops
deployment