Blogpost

[qingyun-wu]

Why are these changes needed?

Adding a blog post on FLAML's 1 million Downloads and a glimpse into FLAML v2

Related issue number

Checks

• I've used pre-commit to lint the changes in this PR (note the same in integrated in our CI checks).
• I've included any doc changes needed for https://microsoft.github.io/FLAML/. See https://microsoft.github.io/FLAML/docs/Contribute#documentation to build and test documentation locally.
• I've added tests (if relevant) corresponding to the changes introduced in this PR.
• I've made sure all auto checks have passed.

[qingyun-wu]

TODO: To add specific industry partners that used FLAML.
Could you provide the information you know about this? @sonichi @thinkall

[EgorKraevTransferwise]

It would be really cool to have a paragraph on all the different task types FLAML can handle, with links to examples in the docs. As is, I feel the variety of what FLAML can already do doesn't quite come across.

Also, in the FLAML advantage paragraph you could add "It even supports hierarchical search spaces, for example first choosing an estimator and then sampling from the hyperparameter space specific to that estimator."

[qingyun-wu]

It would be really cool to have a paragraph on all the different task types FLAML can handle, with links to examples in the docs. As is, I feel the variety of what FLAML can already do doesn't quite come across.

Also, in the FLAML advantage paragraph you could add "It even supports hierarchical search spaces, for example first choosing an estimator and then sampling from the hyperparameter space specific to that estimator."

Thank you for your valuable input Egor! I will add a paragraph on the task that FLAML could handle and the suggested content on hierarchical search space.

[qingyun-wu]

It would be really cool to have a paragraph on all the different task types FLAML can handle, with links to examples in the docs. As is, I feel the variety of what FLAML can already do doesn't quite come across.
Also, in the FLAML advantage paragraph you could add "It even supports hierarchical search spaces, for example first choosing an estimator and then sampling from the hyperparameter space specific to that estimator."

Thank you for your valuable input @EgorKraevTransferwise. I have added content on the tasks that FLAML could handle and some content on hierarchical search space. I am not elaborating in detail in order to keep the blog post concise and easy to digest.