Add DeAI > Training Models & Samples pages

[jessiemongeon1]

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[github-actions]

🤖 Here's your preview: https://7mjw5-lqaaa-aaaam-aborq-cai.icp0.io

[ielashi]

Thanks to you and Pat for putting this together, Jessie :)

Trying to read this page from the vantage point of someone not too familiar with the IC, here are my takeaways:

• Now the IC can run AI training on CPUs, and in the future it will run on GPUs.
• There's a library called Motoko Learn that can be used for training.
• Classical algorithms can be more efficient than training large neural networks.

I believe the above points are all mentioned to some extent on the overview page. And, more importantly, the page didn't answer the key question that I wanted an answer for: how can I train models on the IC today? Are there any examples that I can look at? What are the limitations?

Maybe we can work together to create some of these examples? Otherwise, the content feels a bit weak to me. WDYT?

[jessiemongeon1]

Yes, I agree with your takeaways and had the same feedback for Pat, but wanted to get your insight before I followed up with him and asked for revisions. I'll pass this onto Pat and ask him to apply these revisions.

[jessiemongeon1]

@ielashi The PR has been updated with Pat's revised draft. Please take a look, thank you!