As a machine learning enthusiast, I’ve often wondered how to take my model-building skills to the next level. You know, beyond just creating models in a notebook. I mean, what’s the point of creating an amazing model if you can’t integrate it into a real-world application? That’s where ML system design comes in – the process of building and deploying machine learning models into web applications. But, where do you even start?
For those interested in NLP and LLMs, like me, it can be overwhelming to decide which framework to learn. Should I focus on Flask or FastAPI? What are the key considerations when building an ML system? In this post, we’ll explore the basics of ML system design, and provide a roadmap for beginners looking to integrate their models into web apps.
First, let’s talk about the importance of ML system design. When you build a model in a notebook, it’s easy to get caught up in the excitement of creating something new. But, if you can’t deploy that model into a real-world application, what’s the point? ML system design is about bridging that gap, and creating a seamless user experience. It’s about taking your model and turning it into a functional web app that can be used by others.
So, what skills do you need to get started with ML system design? While it’s true that you can build web apps with just Flask or FastAPI, it’s essential to have a solid understanding of machine learning concepts, as well as software engineering principles. You’ll also need to learn about APIs, data pipelines, and deployment strategies.
If you’re new to ML system design, here are some key takeaways to keep in mind:
* Start by learning the basics of Flask or FastAPI. Both frameworks are well-documented and have large communities, so you can’t go wrong with either one.
* Focus on building small projects that integrate machine learning models into web apps. This will help you develop a sense of how to deploy models and create a seamless user experience.
* Don’t be afraid to experiment and try new things. ML system design is all about iterating and improving your skills.
In conclusion, ML system design is an essential skill for any machine learning enthusiast looking to take their skills to the next level. By following the roadmap outlined above, you can start building web apps that integrate machine learning models and create a seamless user experience. So, what are you waiting for? Get started today and see where ML system design takes you!