1 00:00:02,480 --> 00:00:03,000 Hi guys. 2 00:00:03,000 --> 00:00:03,920 Welcome to this session. 3 00:00:03,920 --> 00:00:06,320 So in this session we'll talk about prompt priming. 4 00:00:06,640 --> 00:00:12,360 So prompt priming is a concept which refers to the practice of providing some initial input to the model 5 00:00:12,400 --> 00:00:16,160 to the ChatGPT tool before generating any kind of response. 6 00:00:16,160 --> 00:00:23,920 So this initial input really helps to guide the tool towards generating a response that is more relevant 7 00:00:23,920 --> 00:00:25,480 and customized to you. 8 00:00:25,920 --> 00:00:28,040 So the user's intended input. 9 00:00:28,040 --> 00:00:34,400 So it is very crucial and important that whenever we are giving prompts to ChatGPT tool, we are giving 10 00:00:34,400 --> 00:00:40,440 some context, some context, some background of what exactly what kind of information you are looking 11 00:00:40,440 --> 00:00:40,800 for. 12 00:00:41,080 --> 00:00:46,840 Like for example, without priming, let's say I'm saying where should I go on my next vacation? 13 00:00:47,480 --> 00:00:50,560 Now this is something very it's super generic. 14 00:00:50,760 --> 00:00:58,360 Now ChatGPT will find it extremely generic as a input given and will give a very generic response to 15 00:00:58,400 --> 00:00:58,760 it. 16 00:00:58,800 --> 00:01:02,520 It will give me all kinds of places around the world, okay. 17 00:01:02,560 --> 00:01:04,130 And information about that. 18 00:01:04,490 --> 00:01:05,690 But now think about it. 19 00:01:05,690 --> 00:01:07,970 If I give some context behind it. 20 00:01:08,010 --> 00:01:08,490 Okay. 21 00:01:08,530 --> 00:01:11,850 So let's say I'm saying I would like to go on my next vacation. 22 00:01:11,850 --> 00:01:14,730 I'm going on a trip with my wife and kids. 23 00:01:14,730 --> 00:01:16,490 The location should be tropical. 24 00:01:16,770 --> 00:01:18,410 We would love to go to a beach. 25 00:01:18,450 --> 00:01:24,850 I would like a direct flight from my place to LAX, and I have a travel budget of $5,000. 26 00:01:25,210 --> 00:01:27,450 Where should I go on my next vacation? 27 00:01:28,250 --> 00:01:29,490 So now what happens? 28 00:01:29,690 --> 00:01:31,210 I have given some context. 29 00:01:31,210 --> 00:01:37,730 I have given some scenarios, specific things which I am looking for, my interests, my likes and dislikes, 30 00:01:37,930 --> 00:01:39,810 all that have given context of. 31 00:01:40,090 --> 00:01:46,890 And now because of this, the prompt will be the response will be far better, much more relevant and 32 00:01:46,890 --> 00:01:49,650 customized to my particular need. 33 00:01:49,890 --> 00:01:53,210 So this is what we refer to as prompt priming. 34 00:01:53,530 --> 00:01:55,010 Let's look at one more example. 35 00:01:55,610 --> 00:02:02,370 Let's say I'm saying please create three potential titles of my new online course that teaches people 36 00:02:02,410 --> 00:02:03,530 how to use AI. 37 00:02:04,210 --> 00:02:11,850 Now this is again super generic Because ChatGPT is going to give me all kinds of titles possible, which 38 00:02:11,890 --> 00:02:13,010 serves this purpose. 39 00:02:13,850 --> 00:02:18,650 But now, if I give some context where I'm saying that, please create three potential titles for my 40 00:02:18,650 --> 00:02:21,410 new online course that teaches people how to use AI. 41 00:02:21,850 --> 00:02:25,530 Here is an example of some my recent course titles. 42 00:02:25,570 --> 00:02:29,210 Please emulate the style and the written format of these. 43 00:02:29,450 --> 00:02:31,290 So let's say I'm giving some context. 44 00:02:31,290 --> 00:02:33,210 My current courses names are. 45 00:02:33,250 --> 00:02:34,850 Video editing Masterclass. 46 00:02:34,930 --> 00:02:38,730 Edit your videos like a pro cinematography masterclass. 47 00:02:38,730 --> 00:02:40,410 The complete videography guide. 48 00:02:40,570 --> 00:02:45,650 So now when I give some context like this, the outputs will be far better. 49 00:02:45,970 --> 00:02:52,490 The tool will emulate the writing style or in this particular examples which I have shared and will 50 00:02:52,490 --> 00:02:54,290 give me responses based on that. 51 00:02:54,890 --> 00:02:59,890 So this is how you have to keep this in mind, that whenever you are giving a prompt to ChatGPT, we 52 00:02:59,890 --> 00:03:07,290 have to give context information with it as well so that you get the most specific desired response 53 00:03:07,290 --> 00:03:07,970 out of it.