LLMOps is a specialized extension of MLOps that focuses on deploying, monitoring, and maintaining large language models in production. It addresses the unique challenges of LLM applications, from fine-tuning to real-time monitoring, ensuring scalability and reliability.
👉 Learn how LLMOps is redefining AI workflows for production-ready models!"
![LLMOps [Quick Guide]](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fj326j5x7i0paw6z8jaqj.png)
shubhanshu @shubhsk
About: I am a platform engineer, who writes about full-stack engineering, GenAI, and SAAS.
Location:
Bengaluru
Joined:
Apr 25, 2024
LLMOps [Quick Guide]
Publish Date: Dec 11 '24
4 4Comments 4 total
shubhanshuDec 14, 2024So in that case I need to explain everything here rather than a reference link, is that correct?
Appreciate your feedback!
- FyodorDec 14, 2024
Well it’s up to you but the best practice is to write the post here directly. You can also leave the canonical url of the original post in the post’s metadata here for better SEO for your website, see this instructions post for instance dev.to/_hariti/how-to-add-a-canoni...
It is not Twitter, my friend, FWIW