Hello everyone! Hope you are enjoying the new year.

It’s been a while. In case you haven’t heard, I have moved on from Meta AI. I am now spending more time building DAIR.AI.

There are lots of exciting launches coming in 2023. You can catch all updates here.

The first announcement for 2023 is the relaunch of the NLP Newsletter. We will be focusing on providing biweekly, highly-curated summaries of NLP and ML trends, research papers, insights, and tools. It will be heavily focused on practical information and insights useful for AI researchers and developers.

Subscribe here: https://nlpnews.substack.com/p/relaunching-the-nlp-newsletter

In the meantime, check out my “2022: A Year in Review (ML Papers Edition)”.

Thanks for your support — The DAIR.AI Team.

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The way we interact with large language models (LLMs) is evolving and always improving. Current approaches include a lot of prompt engineering to make LLMs effective at different tasks. This may change in the future but developers and researchers are still figuring out new ways that involve clever prompting of…

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Over the last couple of years, I have been sharing lots of educational content as a way to give back to the community.

More recently, I decided to open-source all my study notes which include topics like deep learning, machine learning, and natural language processing.

The goal of this new project is to share more about my strategy and thought process of how I gain knowledge and practical skills.

All the notes are written using Notion which makes it easy to extend the material. Happy learning!

You can find all my course notes here.

Elvis

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Machine learning operations (MLOps) is becoming an exciting space as we figure out the best practices and technologies to deploy machine learning models in the real world. MLOps enable ML teams to build responsible and scalable machine learning systems and infrastructure. This facilitates tasks that range from risk assessment to building and testing to monitoring. While still in its infancy, MLOps has attracted machine learning engineers and software engineers in general. With every new paradigm comes new challenges and opportunities to learn. If you are curious about MLOPs and why it matters in designing ML systems, I’ve put together a collection of my favorite references.

Check it out: https://github.com/dair-ai/MLOPs-Primer

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🎉 Happy new year to all!

We have so many exciting new announcements and events for our community. To start the new year, we are happy to announce our new Discord channel.

The idea is to create an inclusive and vibrant community of learners, researchers, and developers in the AI space. It’s dedicated to learning, asking questions, discussing, and sharing all the exciting trends and developments in machine learning and AI.

See you there!

Elvis

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