How to Design Large-Scale AI Systems
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It is one thing to train a machine learning model, maybe achieve state-of-the-art accuracy on a benchmark dataset. But deploying that model, making it serve millions of users, process terabytes of data, and operate reliably 24/7 is a very different challenge.
From the start, every part of training and deploying a machine learning model, each stage requires careful planning and the right tools.
Building and running an AI system from early development to full deployment is where …
Strong software development skills become important, a gap where many AI engineers fall short
In this blog, we will explore each development stage required to build a large-scale AI system capable of creating LLMs, multimodal models, and various other AI products. How each development stage relate to one another, and their individual responsibilities.
Special thanks to
from Meta for the guidance provided in his GitHub repo.