I'm so very happy that you've reached this epic moment in the course and that you're hanging in there.
This is where things have gotten really crucial, and we're learning some of the most important things
about building an LMS.
And I'm I'm just very grateful that you've been staying along and hopefully enjoying it as much as I
am.
And yeah, the best is yet to come.
So, uh, for today, it's going to be few slides.
It's going to be all action.
Uh, you're going to be looking at the actual run happening and weights and biases, and I'll be showing
you the sorts of things to look for and how we can use weights and biases to get some intelligence about
what's happening.
Uh, I'm going to show you the Huggingface hub with models in it, and you get a sense of what's going
on.
Um, there's also one thing that's been on my mind that I mentioned last time that I, I don't want
to be flippant about the importance of keeping costs low.
The idea of this class is not to build up a big bill for you from, uh, from Google, who will happily
take your, your money for for running their boxes.
Um, I have a lot of fun running this training.
It's, um, running the training process.
Um, it's perfectly achievable to do that and get good results with the spending a matter of cents.
And I did want to take just a quick moment to talk about that, because it's very important.
And I don't want to, uh, lead you down the wrong path of thinking you have to spend lots of money
to get good results and to learn particularly, which is the main objective here.
Um, and so, in fact, we're going to start with that.
Um, and I want to, uh, take you straight over to JupyterLab, not not to Google Colab, but JupyterLab,
where I'm going to show you something to illustrate my point and to help set you up should you wish
to be training at a lower cost.