"Awesome conversation! Transitioning from DevOps to MLOps is what i think every devops,sre or platform engineer would be thinking right now.Atleat me!!!. Working currently as a platform engineer still feel DevOps provides-automation, CI/CD pipelines, and infrastructure management, monitoring which are game-changers in scaling and deploying ML models . I agree with the point that Krish made that understanding the ML lifecycle is essential but i feel DevOps engineers are unique and would be the go to guys when it comes to operationalizing models efficiently in the market right now i cant think of any other background of folks . Thanks for showing how these fields complement each other-DevOps I feel really brings the backbone to MLOps!" Thanks @AbhishekVeeramala for organizing this
Nice Session Abhishek and Krish naik and thanks for providing valuable content. Adding two more simple questions, 1) Are there any communities to provide feedback or suggest more features to our contribution to open-source projects. 2) What is the part of GPU in the MLOps training.
Abhishek your videos kn technical aspect is so crisp amd concised I did even recommend people to follow your videos .But as a fresher some people lack real time experience like they haven't worked on dev qa and prod so they were not able to adapt to work I would request to create a series working on 3dev qa and prod environments
Thank you for having me...it was an amazing conversation.. 😊
Can you share RUclips link
Do u have any youtube channel
@krishnaik06
Do ai agents replace mlops or llmops in future?
Three legend.. Two are discussing and one (audience) is starting or learning.
"Awesome conversation! Transitioning from DevOps to MLOps is what i think every devops,sre or platform engineer would be thinking right now.Atleat me!!!. Working currently as a platform engineer still feel DevOps provides-automation, CI/CD pipelines, and infrastructure management, monitoring which are game-changers in scaling and deploying ML models . I agree with the point that Krish made that understanding the ML lifecycle is essential but i feel DevOps engineers are unique and would be the go to guys when it comes to operationalizing models efficiently in the market right now i cant think of any other background of folks . Thanks for showing how these fields complement each other-DevOps I feel really brings the backbone to MLOps!"
Thanks @AbhishekVeeramala for organizing this
Hey Abhishek never expected. 2 great legends on one screen...
❤️
Two legends in one frame ❤
😍
Nice Session Abhishek and Krish naik and thanks for providing valuable content.
Adding two more simple questions,
1) Are there any communities to provide feedback or suggest more features to our contribution to open-source projects.
2) What is the part of GPU in the MLOps training.
Abhishek your videos kn technical aspect is so crisp amd concised I did even recommend people to follow your videos .But as a fresher some people lack real time experience like they haven't worked on dev qa and prod so they were not able to adapt to work I would request to create a series working on 3dev qa and prod environments
Love you both. It was really amazing to watch you both and discuss on this MLOps and DS ❤❤
😌
I thoroughly enjoyed the conversation ❤🎉
Thanks
Ah ! Unexpected Collab.. Experts in their respective fields.🤗
😍😍
Thank you so much Abhi Sir,
Always welcome
Both are gem❤
😍
Damn totally unexpected 🤯
😍😍
Great content
😍
Nice podcast
Much appreciated
This video can not be described in words. They both are G.O.A.T in their own fields❤️
😍
two legends
❤️
❤❤❤
❤️
Nice to see 2 legends in one frame 👌 😊
😊
Suggest a course that could help for beginners to learn and do hands on please
Check both the youtube channels please
Annaaaa ❤❤❤
❤️❤️
Just watched his ml video in Hindi
❤🎉
❤️
Hi anna
❤️
no need of introduction
😍