Managing Large Language Models (LLMs) in Production
30 Days of MLOps Challenge: Day 23
By Sandip Das · · 13 min read
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Hey — It's Sandip Das 👋
We should learn how to manage LLMs in production because deploying and maintaining large language models requires specialized workflows for scalability, versioning, latency optimization, and cost control.
Mastering these practices ensures reliable inference, continuous improvement, and secure integration of LLMs into real-world applications.
We should learn how to manage LLMs in production because deploying and maintaining large language models requires specialized workflows for scalability, versioning, latency optimization, and cost control.
Mastering these practices ensures reliable inference, continuous improvement, and secure integration of LLMs into real-world applications.