Cover Image for MLOps Reading Group - Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

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The MLOps Community fills the need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production AI/ML pipelines. We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers. You can check out our Slack or podcast that’s filled with tips and tricks to overcoming the common obstacles we’ve all hit in the real world. Make sure to join the #nyc channel. Find the solutions you need. Share, learn, and grow with us, as we work to bring standardization to the chaotic world of MLOps

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MLOps Reading Group - Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

MLOps Community

Zoom

Past Event

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About Event

Join us for the next session of the MLOps Community Reading Group, where we delve into the latest technical papers and resources, fostering insightful discussions on their broader implications.

In our upcoming session, we'll explore the paper "Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?"

Our moderators will guide us through the paper, followed by a round-robin session where attendees can share their thoughts and ideas, and we'll conclude with a Q&A segment.

This event is open to anyone passionate about MLOps. Whether you're a seasoned practitioner or just curious about the topic, our reading group provides a unique platform to expand your knowledge and connect with like-minded individuals. We meet every month on the first Thursday.

Want to keep the discussion going throughout the month? Join the MLOps community Slack workspace and hop into the #reading-group channel.

See you there!

Presented by

MLOps Community

The MLOps Community fills the need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production AI/ML pipelines. We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers. You can check out our Slack or podcast that’s filled with tips and tricks to overcoming the common obstacles we’ve all hit in the real world. Make sure to join the #nyc channel. Find the solutions you need. Share, learn, and grow with us, as we work to bring standardization to the chaotic world of MLOps

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