MLOps World 2022

June 7th

10am

First session nest practice

Lina

not very usful to me. joined late doue to hova + hopin tehcnical difficulties.

Automated Machine Learning & Tuning with FLAML

11 am

3h session.

manually tuning hyper parameters is a large effort.

costs a lot , tuning opportunity lost due to load .

also cost is not one time.

the goal is to remove the hassle of tuning.

https://microsoft.github.io/FLAML/

Taking MLOps 0-60: How to Version Control, Unify Data and Management

https://labelstud.io/

https://pachyderm.io/ also: https://www.pachyderm.com/

github.com/pachyderm/examples/tree/master/label-studio

link dump

https://github.com/microsoft/DeepSpeed