1 00:00:02,280 --> 00:00:02,840 Hi guys. 2 00:00:02,840 --> 00:00:03,760 Welcome to this session. 3 00:00:03,760 --> 00:00:10,240 So in this session now we will see how we can use these different versions of ChatGPT and use some practical 4 00:00:10,240 --> 00:00:15,560 prompts or same prompts on different versions to see the difference in the output which we get from 5 00:00:15,560 --> 00:00:15,920 them. 6 00:00:16,120 --> 00:00:17,360 So let's have a look at this. 7 00:00:17,640 --> 00:00:22,880 So the first one we are going to do a comparison is going to be between ChatGPT four or mini versus 8 00:00:22,880 --> 00:00:24,240 ChatGPT oh one. 9 00:00:24,400 --> 00:00:33,400 So let's start with that wherein we're asking ChatGPT four or mini to create a image of a dog running 10 00:00:33,400 --> 00:00:34,360 through the forest. 11 00:00:48,880 --> 00:00:50,280 It is able to do that absolutely. 12 00:00:50,280 --> 00:00:50,760 Fine. 13 00:00:50,960 --> 00:00:52,920 Now let's switch this over. 14 00:01:17,640 --> 00:01:20,280 And now we are going to give the same option again. 15 00:01:26,000 --> 00:01:30,280 Since looking at the reasoning part of it, as you can see, oh one will do a little bit of reasoning 16 00:01:30,280 --> 00:01:35,160 about the whole task and then it's going to give us information, as you can see. 17 00:01:39,200 --> 00:01:41,000 It's giving us all the information about it. 18 00:01:41,000 --> 00:01:47,400 It's also giving us some prompt which we can use over here, but specifically with oh one specifically, 19 00:01:47,400 --> 00:01:49,280 you can see this limitation that it has. 20 00:01:49,320 --> 00:01:54,720 It does not have that capability of converting text to image in this particular case. 21 00:01:54,920 --> 00:01:57,600 So this is one drawback which you will get with oh one. 22 00:01:58,880 --> 00:02:01,760 Same way you can do it with describing images as well. 23 00:02:02,200 --> 00:02:04,760 Now let's look at come back again to. 24 00:02:07,120 --> 00:02:09,560 Oh one mini Photo mini. 25 00:02:12,640 --> 00:02:15,480 And let's say we start with another prompt over here. 26 00:02:21,880 --> 00:02:27,880 So here we have talked about I work at an established tech consulting firm specializing in digital transformation. 27 00:02:27,880 --> 00:02:31,680 I lead our efforts in regional expansion and strategic partnerships. 28 00:02:31,680 --> 00:02:37,240 We are evaluating potential locations for a new office in Asia to strengthen our presence in emerging 29 00:02:37,240 --> 00:02:38,080 markets. 30 00:02:38,120 --> 00:02:42,480 Singapore is our choice, but we are also considering Tokyo and Hong Kong, where we already have some 31 00:02:42,480 --> 00:02:43,720 client relationships. 32 00:02:43,720 --> 00:02:46,360 Help me devise a comprehensive plan for this expansion. 33 00:02:46,520 --> 00:02:52,760 So now you can see it's giving us all the structure, market research, location analysis, operational 34 00:02:52,760 --> 00:02:59,080 setup, strategic partnerships and networking, cultural talent considerations, market and brand awareness, 35 00:02:59,280 --> 00:03:03,840 risk mitigation and contingency plans, timing and budget. 36 00:03:05,720 --> 00:03:11,280 So all that is given by ChatGPT for Omni, as you can see over here. 37 00:03:11,440 --> 00:03:15,270 But now if we switch to One. 38 00:03:22,190 --> 00:03:28,630 And give the same prompt is going to look at the reasoning of it and analyzing it. 39 00:03:28,670 --> 00:03:31,910 It also and then it is going to give us. 40 00:03:31,910 --> 00:03:36,430 So this is the expansion part where it is giving it few seconds to think through. 41 00:03:36,550 --> 00:03:38,710 And then it's going to give us all the information. 42 00:03:38,710 --> 00:03:45,030 Now if you see the the detailing is very precise with oh one you get a lot of pros and cons. 43 00:03:45,070 --> 00:03:48,510 This was not there in our previous prompt which we had looked at. 44 00:03:48,510 --> 00:03:49,070 Right? 45 00:03:49,110 --> 00:03:49,350 Okay. 46 00:03:49,390 --> 00:03:53,390 So if for every location it's giving you pros and cons okay. 47 00:03:53,590 --> 00:04:00,030 Then with every section it's telling us the legal and regularity, uh, regulatory things as well, 48 00:04:00,030 --> 00:04:01,750 financial and operational risks. 49 00:04:01,950 --> 00:04:02,190 Okay. 50 00:04:02,230 --> 00:04:04,110 So it's getting more detailed. 51 00:04:04,110 --> 00:04:11,710 So oh one is really good at doing these particular analysis bit where it will go into the specifics 52 00:04:11,710 --> 00:04:17,950 of it and give you very minute details, which possibly for many does not do that much. 53 00:04:18,470 --> 00:04:26,070 So this is the strength of one specifically, wherein it will give you far more accurate, precise and 54 00:04:26,470 --> 00:04:28,910 granular information versus the four. 55 00:04:30,430 --> 00:04:35,150 Now let's look at another example with four row many. 56 00:04:37,390 --> 00:04:40,430 For a coding example which we can look at. 57 00:04:43,870 --> 00:04:51,110 So we'll try with this is going to be oh one mini versus let's do oh one mini oh one specifically. 58 00:04:53,430 --> 00:05:01,030 And now with oh one specifically, we are looking at a asking ChatGPT to develop a complete code because 59 00:05:01,030 --> 00:05:02,430 we are looking to build a website. 60 00:05:02,430 --> 00:05:08,470 So I need to develop a new web application from scratch using Python with flask for the backend and 61 00:05:08,870 --> 00:05:10,710 Vue.js for the front end. 62 00:05:11,030 --> 00:05:16,550 The application will enable users to create accounts, post updates and search for other users by interest. 63 00:05:16,790 --> 00:05:22,070 Could you provide the complete project setup, including file structure, required package installations, 64 00:05:22,070 --> 00:05:27,550 and an initial implementation for user authentication and handling user generated content. 65 00:05:27,590 --> 00:05:33,350 So basically what I'm looking for, some kind of coding related, uh, pro results so that it can help 66 00:05:33,350 --> 00:05:34,670 me set up the website. 67 00:05:39,350 --> 00:05:40,790 So this is happening on oh one. 68 00:05:47,270 --> 00:05:49,870 You can see it's building and connecting okay. 69 00:05:49,910 --> 00:05:51,430 So crafting the blueprint. 70 00:06:01,230 --> 00:06:03,590 Is giving us the code over here now okay. 71 00:06:03,630 --> 00:06:08,430 It had to think through it a little bit 20s of thinking went into it. 72 00:06:09,550 --> 00:06:11,910 And then the project structure, the code came up. 73 00:06:13,070 --> 00:06:15,070 Explanation also been given for it. 74 00:06:15,990 --> 00:06:17,830 Back end setup is given. 75 00:06:19,990 --> 00:06:22,670 There will be a front end one as well which will come up. 76 00:06:23,590 --> 00:06:26,670 It's still writing the code for us for the back end. 77 00:06:29,670 --> 00:06:38,350 So it's a little slower in that respect in generating code related prompts responses, as you can see. 78 00:06:38,390 --> 00:06:39,990 Front end setup now. 79 00:06:42,070 --> 00:06:44,750 The code has been generated for front end setup as well. 80 00:06:51,950 --> 00:06:54,590 It is providing us the whole code for that also. 81 00:06:55,830 --> 00:07:00,630 This we are going to now compare with specifically O3 mini. 82 00:07:00,670 --> 00:07:00,990 Hi. 83 00:07:01,870 --> 00:07:02,310 Okay. 84 00:07:02,350 --> 00:07:08,750 So O3 is primarily built out for faster coding related responses which we can get over here. 85 00:07:09,110 --> 00:07:09,310 Okay. 86 00:07:09,350 --> 00:07:11,150 So so we'll see it in action. 87 00:07:11,310 --> 00:07:13,510 How fast or how frequent. 88 00:07:13,550 --> 00:07:15,670 How better it is than O1. 89 00:07:16,030 --> 00:07:18,710 So now you can see the O1 response has completed. 90 00:07:18,750 --> 00:07:21,470 Now we'll switch this to O3 mini high. 91 00:07:24,190 --> 00:07:26,150 And we are going to give the same prompt. 92 00:07:33,780 --> 00:07:35,620 And you can see how quick it is. 93 00:07:35,660 --> 00:07:39,020 It I think in less than five seconds it took for right down the whole thing. 94 00:07:54,740 --> 00:07:57,260 And now you can see the code has already started generating. 95 00:07:58,060 --> 00:08:00,260 You can see the the frequency. 96 00:08:00,260 --> 00:08:02,460 It is much faster over here. 97 00:08:02,500 --> 00:08:09,340 Now with respect to with respect to the previous one with 0103, mini high is far more faster in generating 98 00:08:09,340 --> 00:08:12,100 the codes which we are looking for out here. 99 00:08:12,420 --> 00:08:17,380 So you can literally now see the difference in the versions of ChatGPT which we have here. 100 00:08:17,500 --> 00:08:21,740 And that is what we were discussing in the previous videos as well, that each of the versions has their 101 00:08:21,740 --> 00:08:23,740 own strengths and limitations. 102 00:08:23,900 --> 00:08:29,820 So depending on what is your requirement, you need to select the right version for yourself and use 103 00:08:29,820 --> 00:08:30,180 that. 104 00:08:30,500 --> 00:08:31,500 I hope this makes sense. 105 00:08:31,500 --> 00:08:33,340 You understand the whole concept now. 106 00:08:33,380 --> 00:08:37,700 Thank you so much guys for listening to this and I will see you in the next video.