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Hey there, awesome readers! Welcome back to another edition of our weekly newsletter 🎉 We've got a bunch of exciting things to share with you today, so grab a cup of coffee (or tea) and let's dive right in!

First up, have you ever wanted to fine-tune and infer large foundation models with ease? Well, we're here to tell you that your dreams have come true! Check out this amazing toolkit called Large Model for All that provides an extensible solution for just that. Whether you're a data scientist, a researcher, or simply a curious mind, this toolkit will definitely blow your socks off!

Okay, folks, let's move on to something a little more practical. Have you ever come across a situation where you need to get distinct values in a grid? It can be a real head-scratcher, but worry no more! We've got a fantastic solution for you. Just follow this handy guide and say goodbye to those grid-related headaches forever!

Ready for some mind-blowing innovation? 🚀 Feast your eyes on this groundbreaking research on large-scale self-supervised pre-training. But wait, it gets even better! This research not only spans across different tasks and languages but also encompasses various modalities. Yeah, it's seriously impressive! If you're as excited as we are, make sure to check out the details in this awesome paper: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities. Get ready to have your mind blown!

Last but not least, if you've been itching to dive into the world of microservices and Docker, then we've got just what you need. We've put together a comprehensive guide on how to build microservices with Docker - The Services. This tutorial will take you from zero to hero in no time, teaching you all the ins and outs of building scalable and efficient microservices using Docker. So, what are you waiting for? Get started right away by clicking on this link: How to build microservices with Docker - The Services.

That's all for this week's newsletter, folks! We hope you found these resources exciting and useful. Don't forget to check them out and let us know what you think. And as always, stay curious, stay creative, and keep learning! ✨

Until next time, Your friendly content writing team

Dennis

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The Last Week In Python is a weekly roundup for all things Python! Follow me on Twitter for more projects @dennisokeeffe92.


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TLWI.dev, 2024