And now over to my Mac people.
And I have news for you.
It's exactly the same thing.
You go to a favorite browser, you go to Alarm.com, you'll see the same screen.
You press download and then download for Mac OS.
It will of course download it locally.
You will then run the installer and it will install it.
You then bring up a terminal window and you bring up a terminal window by going to applications and
utilities and then terminal.
And when you bring up that terminal window as it comes up here, you type the same instruction Olama
run.
And now the name of the model, which in our case is llama 3.2, the very latest small model from meta.
And it will then come up.
It will probably take a minute or two because it will need to download the 2 billion parameters associated
with with 3.2, but then it will be running just like this.
And now again we can try and put it to good use.
We can ask it this time will use a different language.
Why not?
Let's say I am trying to learn French.
I am a complete beginner.
Please have a conversation with me to teach me French.
And let's see how it does.
The first thing you'll notice is that it's a lot faster.
And that's because I'm actually running on a mac with an M1 chip.
And what we were seeing earlier was an emulation of a PC.
So of course this is a bit faster.
Your computer may be somewhere in between those two, depending on your architecture.
So off it's gone with the start and you can see that it's done a fab job.
It's clearly given a bunch of different options.
It's explained itself.
It's super impressive.
Uh, let's say uh, sure.
So I'm not actually answering his question, but there we go.
You get the idea.
And the point I wanted to make again is that this is, in fact, a paid commercial product on an app
that I'm using.
And here we have it.
We have built effectively a commercial project for free, using open source in a matter of minutes,
just immediately unleashing the power of an LLM on your computer.
So I now have an exercise for you right away.
I'd like you to of course, do this.
Install it, make sure that it works.
If you have any problems whatsoever, then you can always contact me at any point.
Feel free to message me or send me an email or LinkedIn with me and ask for help.
But hopefully this is a really easy install that will have you up and running.
Do this.
Have a quick experiment with a with a language.
Pick a language maybe one you don't know and try it out.
And then the next thing to try is I'd like you to experiment with different models.
So if we go back to the llama page, you'll see that there's a model heading up here.
And for both PC and Mac people, it's the same thing.
You can see some different models and read about the story behind them.
Llama 3.2 from Meta Jama from Google, which is its open source low parameter version.
Quan, which is a powerhouse of a model from Alibaba Cloud, which is less well known, but it is one
of the strongest.
You can click on a model and you will then see the different versions of it, and over here is the way
that you can run it.
You can simply press that button there to copy it to the clipboard, and then paste it into your PowerShell
or your terminal.
And these are the various different versions of it.
And you can just go back to models, browse through them.
Experiment 53.5 from Microsoft.
Also very powerful model and you can read more about them.
Uh, experiment with them.
And I would like to ask you to try this out for a new language.
Try exploring, maybe try and learn something completely different and use different models and see
if you can figure out which models are best for you.
As you pick some of the larger models, they may be slower on your computer, so find out which models
perform the best and give you the best results.
That's your exercise and then I will see you for the next time when we will.
Then do things like introductions and course and all that stuff.
See you then.