WEBVTT 00:00.560 --> 00:03.110 And now over to my Mac people. 00:03.110 --> 00:04.130 And I have news for you. 00:04.130 --> 00:05.570 It's exactly the same thing. 00:05.570 --> 00:10.640 You go to a favorite browser, you go to Alarm.com, you'll see the same screen. 00:10.640 --> 00:14.600 You press download and then download for Mac OS. 00:14.630 --> 00:17.150 It will of course download it locally. 00:17.150 --> 00:20.390 You will then run the installer and it will install it. 00:20.390 --> 00:25.460 You then bring up a terminal window and you bring up a terminal window by going to applications and 00:25.460 --> 00:26.990 utilities and then terminal. 00:27.050 --> 00:32.960 And when you bring up that terminal window as it comes up here, you type the same instruction Olama 00:33.830 --> 00:34.640 run. 00:34.640 --> 00:42.320 And now the name of the model, which in our case is llama 3.2, the very latest small model from meta. 00:42.320 --> 00:44.360 And it will then come up. 00:44.420 --> 00:49.190 It will probably take a minute or two because it will need to download the 2 billion parameters associated 00:49.190 --> 00:53.030 with with 3.2, but then it will be running just like this. 00:53.030 --> 00:56.180 And now again we can try and put it to good use. 00:56.270 --> 00:58.550 We can ask it this time will use a different language. 00:58.550 --> 00:58.910 Why not? 00:58.940 --> 01:04.470 Let's say I am trying to learn French. 01:05.400 --> 01:07.620 I am a complete beginner. 01:09.870 --> 01:17.400 Please have a conversation with me to teach me French. 01:18.480 --> 01:19.980 And let's see how it does. 01:20.010 --> 01:22.530 The first thing you'll notice is that it's a lot faster. 01:22.530 --> 01:25.470 And that's because I'm actually running on a mac with an M1 chip. 01:25.470 --> 01:27.870 And what we were seeing earlier was an emulation of a PC. 01:27.870 --> 01:29.850 So of course this is a bit faster. 01:29.940 --> 01:34.080 Your computer may be somewhere in between those two, depending on your architecture. 01:34.350 --> 01:39.360 So off it's gone with the start and you can see that it's done a fab job. 01:39.360 --> 01:42.000 It's clearly given a bunch of different options. 01:42.000 --> 01:43.230 It's explained itself. 01:43.230 --> 01:45.150 It's super impressive. 01:45.150 --> 01:48.240 Uh, let's say uh, sure. 01:49.890 --> 01:54.960 So I'm not actually answering his question, but there we go. 01:54.960 --> 01:56.070 You get the idea. 01:56.070 --> 02:01.770 And the point I wanted to make again is that this is, in fact, a paid commercial product on an app 02:01.770 --> 02:02.520 that I'm using. 02:02.520 --> 02:03.540 And here we have it. 02:03.570 --> 02:10.120 We have built effectively a commercial project for free, using open source in a matter of minutes, 02:10.150 --> 02:14.290 just immediately unleashing the power of an LLM on your computer. 02:15.220 --> 02:18.670 So I now have an exercise for you right away. 02:18.670 --> 02:20.380 I'd like you to of course, do this. 02:20.410 --> 02:22.150 Install it, make sure that it works. 02:22.150 --> 02:26.110 If you have any problems whatsoever, then you can always contact me at any point. 02:26.140 --> 02:31.570 Feel free to message me or send me an email or LinkedIn with me and ask for help. 02:31.570 --> 02:35.530 But hopefully this is a really easy install that will have you up and running. 02:35.560 --> 02:36.370 Do this. 02:36.370 --> 02:39.040 Have a quick experiment with a with a language. 02:39.040 --> 02:41.950 Pick a language maybe one you don't know and try it out. 02:42.040 --> 02:46.060 And then the next thing to try is I'd like you to experiment with different models. 02:46.060 --> 02:50.650 So if we go back to the llama page, you'll see that there's a model heading up here. 02:50.650 --> 02:53.710 And for both PC and Mac people, it's the same thing. 02:53.710 --> 02:57.070 You can see some different models and read about the story behind them. 02:57.070 --> 03:03.700 Llama 3.2 from Meta Jama from Google, which is its open source low parameter version. 03:03.700 --> 03:10.130 Quan, which is a powerhouse of a model from Alibaba Cloud, which is less well known, but it is one 03:10.130 --> 03:11.360 of the strongest. 03:11.390 --> 03:16.970 You can click on a model and you will then see the different versions of it, and over here is the way 03:16.970 --> 03:17.750 that you can run it. 03:17.750 --> 03:23.030 You can simply press that button there to copy it to the clipboard, and then paste it into your PowerShell 03:23.030 --> 03:24.170 or your terminal. 03:24.260 --> 03:27.650 And these are the various different versions of it. 03:27.650 --> 03:31.310 And you can just go back to models, browse through them. 03:31.310 --> 03:34.250 Experiment 53.5 from Microsoft. 03:34.400 --> 03:39.350 Also very powerful model and you can read more about them. 03:39.350 --> 03:40.580 Uh, experiment with them. 03:40.580 --> 03:43.580 And I would like to ask you to try this out for a new language. 03:43.670 --> 03:49.550 Try exploring, maybe try and learn something completely different and use different models and see 03:49.550 --> 03:52.820 if you can figure out which models are best for you. 03:52.850 --> 03:57.590 As you pick some of the larger models, they may be slower on your computer, so find out which models 03:57.590 --> 04:00.320 perform the best and give you the best results. 04:00.320 --> 04:03.890 That's your exercise and then I will see you for the next time when we will. 04:03.920 --> 04:06.920 Then do things like introductions and course and all that stuff. 04:07.010 --> 04:07.700 See you then.