WEBVTT 00:00.110 --> 00:05.360 So what we're now going to do is we're going to look at some models in practice and start to compare 00:05.360 --> 00:06.770 them and ask some questions. 00:06.770 --> 00:11.180 Some of the questions we're going to ask, we're going to ask how do I decide if a business problem 00:11.180 --> 00:13.580 is suitable for an LM solution? 00:13.580 --> 00:17.480 Because it's again useful for us to hear the answer and to learn from it. 00:17.480 --> 00:19.490 But also it would be good to see. 00:19.610 --> 00:25.220 I imagine you'll see that that's a question that none of the models will have any problems with, and 00:25.250 --> 00:26.690 it'll be great to see that. 00:26.990 --> 00:31.100 I will also ask a question which I think is interesting because it's sort of introspective. 00:31.100 --> 00:38.330 It sees whether the models have a sense of of what they are by saying compared to other LMS, what kinds 00:38.330 --> 00:44.090 of questions are you best at answering and where do you where do you have challenges and which other 00:44.120 --> 00:47.000 LMS have capabilities that complement yours? 00:47.000 --> 00:54.470 So it's an interesting one to see if they even recognize that they are LMS and can sort of assess themselves 00:54.470 --> 00:55.610 against others. 00:55.610 --> 01:01.280 And then a question which surely will be something which which they will struggle with, because it's 01:01.280 --> 01:02.780 something that I would struggle with. 01:02.810 --> 01:05.810 What does it feel like to be jealous? 01:06.140 --> 01:14.510 A yeah, a philosophical and a very human centric question, and then a rather interesting one. 01:14.510 --> 01:18.440 How many times does the letter A appear in this sentence? 01:18.740 --> 01:23.300 And if you do a quick count there, I think you'll find that it appears four times, and we'll see whether 01:23.300 --> 01:25.640 the models can figure out that it appears four times. 01:25.670 --> 01:28.880 And then there are a couple of other interesting things I have up my sleeve to ask. 01:28.880 --> 01:35.900 So we'll be going through and the screenshots you see here ChatGPT, you'll see Claude, Gemini and 01:35.960 --> 01:39.680 Commander Plus from cohere, and we'll try the other ones too. 01:39.680 --> 01:44.960 And again, please do bear in mind, try looking and understanding the differences and seeing how you'll 01:44.960 --> 01:48.260 be able to apply this to your own model selection. 01:48.260 --> 01:49.250 See you in a second.