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These are the user uploaded subtitles that are being translated: 1 00:00:00,390 --> 00:00:00,479 That's where I'm leaving. 2 00:00:01,779 --> 00:00:04,780 I get that the chat GPT was created so that it could be 3 00:00:04,780 --> 00:00:06,679 chain of thought prompting. 4 00:00:07,090 --> 00:00:07,720 I get that. 5 00:00:08,230 --> 00:00:13,700 However, chain of thought prompting is based on single thought prompting 6 00:00:14,750 --> 00:00:16,130 and they just extended the model. 7 00:00:16,219 --> 00:00:18,390 So they're trying to get you to that anyway. 8 00:00:18,510 --> 00:00:20,400 So I just tried to go there. 9 00:00:31,425 --> 00:00:33,055 Yes, so you can use ICP. 10 00:00:33,075 --> 00:00:36,275 Sorry, Mark asked, um, I can't remember, read the questions. 11 00:00:36,765 --> 00:00:42,314 Um, so, uh, you can use the ICP throughout the rest of the 12 00:00:42,324 --> 00:00:44,455 chat in the variable example. 13 00:00:44,455 --> 00:00:45,075 Yes, you can. 14 00:00:48,054 --> 00:00:51,705 Um, Harry, you just said by using variables, so I'm not sure. 15 00:00:52,364 --> 00:00:53,044 Oh, that the, 16 00:00:56,794 --> 00:00:58,825 oh, that was the extension of your earlier question. 17 00:00:59,425 --> 00:01:01,035 Um, I hope I answered that for you. 18 00:01:06,625 --> 00:01:07,095 All right. 19 00:01:07,545 --> 00:01:11,335 I think, is that the last question, Mark? 20 00:01:19,715 --> 00:01:20,865 Uh, you want to start over? 21 00:01:21,445 --> 00:01:22,355 Cecilia, you're lost. 22 00:01:22,595 --> 00:01:23,305 Would I lose you? 23 00:01:23,865 --> 00:01:24,045 I'm sorry. 24 00:01:24,155 --> 00:01:27,885 No, I was saying start back in March, the beginning. 25 00:01:28,215 --> 00:01:31,345 Oh, you want to start over, over, over. 26 00:01:31,924 --> 00:01:32,284 Great. 27 00:01:32,395 --> 00:01:36,945 Um, I do see, I see we have a question, um, from Nan in the Q& 28 00:01:36,945 --> 00:01:39,364 A about writing a marketing quiz. 29 00:01:40,060 --> 00:01:42,120 Need a question for a quiz with four responses. 30 00:01:43,359 --> 00:01:43,590 Yeah. 31 00:01:43,590 --> 00:01:45,050 So Nan asked that earlier. 32 00:01:45,259 --> 00:01:46,300 I need 33 00:01:50,259 --> 00:01:54,620 to know the specific case and we could probably sit and, and do that. 34 00:01:54,620 --> 00:02:00,139 And this is part of what, um, Jeff was saying last week too, like the, one of 35 00:02:00,139 --> 00:02:02,680 the things that's going to happen is there's going to be a new career for 36 00:02:02,680 --> 00:02:04,549 people who can write effective prompts. 37 00:02:09,300 --> 00:02:09,630 Right. 38 00:02:09,639 --> 00:02:13,660 So, um, then yes, we, so what we have. 39 00:02:14,825 --> 00:02:18,225 Uh, because it will need to be extended from where you are. 40 00:02:18,535 --> 00:02:23,165 So, and do you want the entire quiz? 41 00:02:24,234 --> 00:02:29,335 Or just question need a question for I really want the format in essence. 42 00:02:29,345 --> 00:02:32,784 So I've got a quiz. 43 00:02:33,134 --> 00:02:35,214 I want it to make up a quiz question. 44 00:02:35,635 --> 00:02:38,065 I wanted to make up the 4 responses. 45 00:02:38,505 --> 00:02:41,315 There's 4 categories or buckets. 46 00:02:42,055 --> 00:02:44,384 And so, therefore, the response. 47 00:02:44,790 --> 00:02:50,430 I want tied to an individual bucket, but I want all four of the 48 00:02:50,440 --> 00:02:52,450 buckets represented in the question. 49 00:02:52,460 --> 00:02:57,900 What it tends to do is break it up into here's a question. 50 00:02:58,180 --> 00:03:00,840 All responses go to this bucket. 51 00:03:01,199 --> 00:03:02,150 Here's another question. 52 00:03:02,150 --> 00:03:04,080 All the responses go to that bucket. 53 00:03:04,490 --> 00:03:06,210 And I want every question. 54 00:03:06,965 --> 00:03:13,335 Have each of the four responses tied to each of the four buckets. 55 00:03:13,885 --> 00:03:14,815 Yeah, I gotcha. 56 00:03:14,825 --> 00:03:19,204 Embracing that, it just, I have to write it and rewrite it, and I'm like, geez. 57 00:03:20,155 --> 00:03:23,655 So, it's going to get confused there, okay? 58 00:03:23,935 --> 00:03:27,375 And the reason it's going to get confused is, and I can guarantee, I haven't 59 00:03:27,375 --> 00:03:29,965 seen your prompt, but I'm going to promise you one thing about your prompt. 60 00:03:30,274 --> 00:03:33,885 Your prompt is actually contradicting itself in some places, and that's 61 00:03:33,885 --> 00:03:34,745 what's going to confuse it. 62 00:03:35,250 --> 00:03:35,610 Okay. 63 00:03:35,890 --> 00:03:37,340 Uh, and that's not anything personal. 64 00:03:37,440 --> 00:03:39,950 Um, Linda and I worked through a prompt a couple months ago where 65 00:03:39,950 --> 00:03:41,090 she had the exact same thing. 66 00:03:41,090 --> 00:03:44,689 And to her, it was, Oh no, this seemed like one, one thought. 67 00:03:44,690 --> 00:03:46,730 But then when you actually looked at how the computer would look at 68 00:03:46,730 --> 00:03:48,369 it, it was started conflicting. 69 00:03:48,660 --> 00:03:49,010 Okay. 70 00:03:49,309 --> 00:03:53,199 Um, the thing that I will tell you is an example is going to help you. 71 00:03:53,510 --> 00:04:00,859 So you're going to have to, so you're going to ask it, you not what dropped 72 00:04:00,859 --> 00:04:05,899 your, did you drop your prompt on my, um, form on the, in the, uh, 73 00:04:05,909 --> 00:04:09,029 in the Google doc, no, I don't. 74 00:04:09,475 --> 00:04:11,545 No, because all I saw was your handout. 75 00:04:11,585 --> 00:04:12,075 I didn't. 76 00:04:12,915 --> 00:04:16,915 Okay, so I finally got it. 77 00:04:16,945 --> 00:04:18,285 But now I'm like, how did I get it? 78 00:04:19,314 --> 00:04:23,054 Because I do this over and over again, you know, I've got, 79 00:04:23,505 --> 00:04:25,004 because I do, I write quizzes. 80 00:04:25,625 --> 00:04:30,375 And so I know there's a way to exactly write it and I just thought 81 00:04:30,375 --> 00:04:33,395 you might be able to help with the language of it of the prompt. 82 00:04:36,455 --> 00:04:38,555 So, write down what you say. 83 00:04:39,655 --> 00:04:42,235 Okay, but but so hold on, but you figured out the answer. 84 00:04:45,070 --> 00:04:48,390 Yes, several times I have, where it has done it, but now I'm 85 00:04:48,390 --> 00:04:50,340 like, how did I, what did I say? 86 00:04:51,260 --> 00:04:52,130 How did I ask that? 87 00:04:52,570 --> 00:04:52,920 Okay. 88 00:04:53,300 --> 00:04:57,390 Do you have a version of when it did it right that you can share? 89 00:04:57,399 --> 00:04:58,590 I probably can. 90 00:04:58,599 --> 00:04:59,009 Yes. 91 00:04:59,500 --> 00:04:59,770 Yeah. 92 00:05:00,200 --> 00:05:03,980 If you're willing to share that with me, I can help you understand why I did it right 93 00:05:04,010 --> 00:05:08,490 and how to make it repeatable because that's ultimately what we do because 94 00:05:08,490 --> 00:05:10,300 we represent so many different clients. 95 00:05:10,390 --> 00:05:13,670 We have to figure out how to take a prompt. 96 00:05:14,060 --> 00:05:18,800 And make it in a way that it's, it's going to repeat great answers, 97 00:05:18,960 --> 00:05:20,420 no matter who the client is. 98 00:05:20,950 --> 00:05:24,370 I can probably find that, just a second. 99 00:05:25,970 --> 00:05:28,880 So, if you may want to go on to something else, let me look for a minute. 100 00:05:30,489 --> 00:05:32,879 Um, up, up, up, up, up, up, up. 101 00:05:33,460 --> 00:05:34,309 Questions, Mark? 102 00:05:36,340 --> 00:05:37,310 Uh, let's see. 103 00:05:37,310 --> 00:05:41,340 Oh, let me make sure I've unmuted. 104 00:05:41,400 --> 00:05:43,969 I actually asked a few and I was muted the whole time. 105 00:05:43,969 --> 00:05:47,130 So anyways, uh, Stephanie has a question. 106 00:05:47,159 --> 00:05:50,860 I may have missed this one on, of the trainings I missed while traveling, 107 00:05:50,870 --> 00:05:54,010 but have plugin recommendation recommendations been made. 108 00:05:54,309 --> 00:05:57,770 I keep hearing about one that supposedly makes it so chat GPT gives current 109 00:05:57,780 --> 00:05:59,760 info, but I don't know what it's called. 110 00:06:00,010 --> 00:06:03,510 So I'm guessing current info would be, uh, full live info. 111 00:06:03,510 --> 00:06:03,840 Yeah. 112 00:06:04,210 --> 00:06:07,969 Yeah, so the, um, the ability to browse. 113 00:06:08,835 --> 00:06:10,905 Um, we'll get you to current info. 114 00:06:11,405 --> 00:06:17,265 Um, what's hysterical is, in case you didn't know, Jasper now does that too. 115 00:06:17,975 --> 00:06:21,304 And they released it before, ChatGPT, and they're Jasper Chat. 116 00:06:22,925 --> 00:06:27,284 Um, and so we'll still see how that actually works and, and how you 117 00:06:27,365 --> 00:06:31,474 actually can use the data that it gives you or how, how great it is. 118 00:06:32,025 --> 00:06:36,985 Um, the plugin I'm super excited about is, uh, I'm gonna sound 119 00:06:36,985 --> 00:06:38,275 like a real old school nerd. 120 00:06:38,705 --> 00:06:44,164 Um, this APR plugin, that's got me excited. 121 00:06:46,674 --> 00:06:48,575 Sorry, I missed the answer. 122 00:06:48,655 --> 00:06:51,044 Hatiba, did you say what it's called? 123 00:06:51,054 --> 00:06:57,664 Whatever plugin we need so it will look for information from 2023 instead of 2021? 124 00:06:58,045 --> 00:07:02,075 So, that, that would be the browser plugin that, that um, ChatGPT is releasing. 125 00:07:02,475 --> 00:07:03,015 Um. 126 00:07:03,075 --> 00:07:04,484 It's not available yet? 127 00:07:04,785 --> 00:07:05,305 It is not. 128 00:07:05,434 --> 00:07:06,005 At least. 129 00:07:06,495 --> 00:07:08,915 It's not widely available. 130 00:07:09,575 --> 00:07:10,675 Few people have it. 131 00:07:12,455 --> 00:07:14,005 I'm not one of those few people. 132 00:07:15,895 --> 00:07:20,575 James might be though, putting you on the spot, buddy. 133 00:07:23,805 --> 00:07:24,205 It's funny. 134 00:07:24,205 --> 00:07:27,475 James always gets access to everything like the day before me. 135 00:07:28,454 --> 00:07:29,585 And he's like, Oh, I got this. 136 00:07:29,585 --> 00:07:30,695 I'm like, yeah, I don't have it. 137 00:07:34,130 --> 00:07:37,909 Okay, so I did put that in chat in question, the Q and A. 138 00:07:38,579 --> 00:07:43,140 So I think that is the one that is going to get me the response. 139 00:07:43,189 --> 00:07:46,260 But then I gave you an example of a question 140 00:07:49,730 --> 00:07:52,569 on what it produced with the responses it produced. 141 00:07:55,409 --> 00:07:56,700 Is there a better way to ask that? 142 00:07:56,700 --> 00:07:56,729 Okay, 143 00:08:00,670 --> 00:08:01,110 so 144 00:08:06,690 --> 00:08:11,169 your prompt was, write a question on challenges with business strategy 145 00:08:11,169 --> 00:08:14,969 and planning or branding and customer journey or marketing and sales. 146 00:08:16,900 --> 00:08:19,619 I would rephrase that whole sentence to start. 147 00:08:19,740 --> 00:08:24,180 Yeah, just tell me and I'll write it down should be three responses for the 148 00:08:24,180 --> 00:08:29,390 question with tied to one of the child. 149 00:08:29,419 --> 00:08:32,839 But okay, so but you didn't define you say tied to one of the 150 00:08:32,839 --> 00:08:36,189 challenge areas, but you didn't define what the challenge areas are. 151 00:08:36,219 --> 00:08:40,069 Yeah, that's the business strategy and planning, branding and customer 152 00:08:40,069 --> 00:08:42,190 journey, marketing and sales. 153 00:08:43,070 --> 00:08:44,830 Those are the challenge areas. 154 00:08:47,155 --> 00:08:51,085 Yeah, it looks like what you need to do is separate all this into separate questions. 155 00:08:51,155 --> 00:08:53,335 I was afraid to put a comma in there. 156 00:08:53,345 --> 00:08:58,435 So you think I need to just say there are three challenges? 157 00:08:58,935 --> 00:09:02,575 And yeah, and the three challenges are this, this, this, and then 158 00:09:02,575 --> 00:09:06,175 I'll reference that to be able to answer the question in those areas. 159 00:09:06,185 --> 00:09:09,095 But the whole thing is you should, this should be like three different 160 00:09:09,095 --> 00:09:10,785 prompts is what I would do or four. 161 00:09:10,795 --> 00:09:11,205 Really? 162 00:09:11,915 --> 00:09:12,614 Oh, wait a minute. 163 00:09:13,145 --> 00:09:16,514 But I only want three responses to the question. 164 00:09:17,050 --> 00:09:23,640 Yeah, but the way you're producing it is just, um, clunky is the word. 165 00:09:23,640 --> 00:09:26,350 Yeah, that's why I'm asking you to rewrite it for me. 166 00:09:27,390 --> 00:09:27,790 Okay. 167 00:09:27,900 --> 00:09:34,519 Um, so you, at the end of the day, you want to, uh, a question for a challenge on 168 00:09:34,530 --> 00:09:38,300 business strategy, planning, or branding? 169 00:09:38,810 --> 00:09:39,580 No, that's what it. 170 00:09:40,730 --> 00:09:48,460 I want, I want a question with the response going to one of those three. 171 00:09:49,059 --> 00:09:49,629 I got that. 172 00:09:49,910 --> 00:09:54,020 So before we get to, to that, you're not giving it the question. 173 00:09:54,709 --> 00:09:57,150 You're asking it to figure out the question for you. 174 00:09:57,269 --> 00:09:57,589 Correct? 175 00:09:57,980 --> 00:09:58,920 Yes. 176 00:09:59,630 --> 00:10:02,840 And you're then asking it to figure out the response and 177 00:10:02,860 --> 00:10:04,400 which category it goes to. 178 00:10:04,935 --> 00:10:05,405 Yes. 179 00:10:05,875 --> 00:10:10,265 Okay, so from a logical perspective, it can do that and it can do 180 00:10:10,265 --> 00:10:11,285 that in one prompt for you. 181 00:10:11,595 --> 00:10:16,274 Okay, the logical perspective is the first thing is, hey, this is my topic. 182 00:10:17,815 --> 00:10:23,104 I'm looking for a question, just one question, except I'm going to 183 00:10:23,105 --> 00:10:25,054 say 10 questions, but that's okay. 184 00:10:25,055 --> 00:10:25,365 Yeah. 185 00:10:25,800 --> 00:10:26,560 Start with one. 186 00:10:26,890 --> 00:10:27,350 Okay. 187 00:10:27,950 --> 00:10:29,010 Run it 10 times. 188 00:10:29,990 --> 00:10:30,500 Okay. 189 00:10:32,740 --> 00:10:33,730 This is my topic. 190 00:10:33,730 --> 00:10:37,360 I'm looking for a question for this for a question. 191 00:10:39,310 --> 00:10:43,990 The question will have four possible responses. 192 00:10:45,740 --> 00:10:51,310 The response categories should be, and then give the name of the category 193 00:10:51,310 --> 00:10:54,270 and a description of the category. 194 00:10:58,140 --> 00:11:01,180 And I should say X, X and X, right? 195 00:11:03,315 --> 00:11:03,965 Define X. 196 00:11:05,585 --> 00:11:07,535 Well, X is the three challenges. 197 00:11:08,855 --> 00:11:09,275 Yes. 198 00:11:10,725 --> 00:11:11,535 Writing them out. 199 00:11:11,855 --> 00:11:14,585 The response category should be branding and blah, blah, blah, blah. 200 00:11:15,505 --> 00:11:17,745 Should be X, so X, X, and X. 201 00:11:20,145 --> 00:11:23,075 Defining what X is in each case. 202 00:11:24,005 --> 00:11:24,625 Yes. 203 00:11:25,045 --> 00:11:26,325 Um, okay. 204 00:11:26,335 --> 00:11:27,775 And that will help. 205 00:11:28,435 --> 00:11:30,045 I'm trying to find something else for you here. 206 00:11:30,775 --> 00:11:31,425 Um, 207 00:11:36,745 --> 00:11:37,745 for an actual prompt. 208 00:11:37,915 --> 00:11:39,875 And I want to be sure there's no duplication. 209 00:11:40,225 --> 00:11:46,935 Because once in a while, it'll give me two of the same one, and then the other two. 210 00:11:47,894 --> 00:11:49,105 And leave one out. 211 00:11:54,684 --> 00:11:57,045 And that's where now the example comes in. 212 00:11:57,045 --> 00:11:59,885 So, after you write everything that I just said. 213 00:12:00,200 --> 00:12:05,040 Say an example would be and then tell it question and give the question 214 00:12:05,970 --> 00:12:12,700 that answer one is and give an answer and said this is this category answer 215 00:12:12,700 --> 00:12:18,910 to is this category answer three is that category to be very specific in 216 00:12:18,910 --> 00:12:21,630 the response that that you give it. 217 00:12:24,564 --> 00:12:24,904 Does that make sense? 218 00:12:25,885 --> 00:12:27,645 Uh, yes, it does. 219 00:12:27,744 --> 00:12:29,095 Uh, but 220 00:12:33,545 --> 00:12:39,584 I'm afraid what it will do is not really tie the response to the category, 221 00:12:40,655 --> 00:12:43,294 that response to that category. 222 00:12:43,824 --> 00:12:45,555 I can try it and see if it'll do it. 223 00:12:45,984 --> 00:12:50,775 And as long as I have an example, I think I can just say, use this example, can't I? 224 00:12:52,315 --> 00:12:55,905 I'm going to say something in, in, in absolute, absolute love. 225 00:12:55,994 --> 00:12:56,375 Okay. 226 00:12:56,885 --> 00:12:57,714 Um, but it may sound a 227 00:13:01,315 --> 00:13:01,585 Right. 228 00:13:01,615 --> 00:13:03,365 You said, I'm afraid it's going to do something. 229 00:13:03,365 --> 00:13:05,605 Yeah, but we don't know what it's going to just try it. 230 00:13:05,724 --> 00:13:06,935 If it does, we'll figure it out. 231 00:13:07,105 --> 00:13:07,505 Okay. 232 00:13:08,055 --> 00:13:10,565 I'm going to drop a prompt that 233 00:13:15,595 --> 00:13:16,255 may help you. 234 00:13:16,765 --> 00:13:17,225 Okay. 235 00:13:17,225 --> 00:13:18,475 You're putting it today. 236 00:13:18,950 --> 00:13:20,090 No, I'm going to put it in the chat. 237 00:13:20,460 --> 00:13:20,810 Yeah. 238 00:13:20,849 --> 00:13:21,329 Okay. 239 00:13:21,480 --> 00:13:23,700 If it doesn't help you, just ignore it. 240 00:13:23,990 --> 00:13:24,329 Okay. 241 00:13:25,520 --> 00:13:25,920 All right. 242 00:13:26,030 --> 00:13:34,269 Um, there anybody else you can have that to, um, this prompt, what it does 243 00:13:34,270 --> 00:13:36,090 is it actually creates carousel posts. 244 00:13:36,520 --> 00:13:37,339 Is this the right one? 245 00:13:38,299 --> 00:13:39,610 Make sure I put the right one in here. 246 00:13:39,620 --> 00:13:40,570 I think I did. 247 00:13:40,720 --> 00:13:44,160 I think this is the one that creates carousel posts that, that then 248 00:13:44,190 --> 00:13:46,680 creates, turns a carousel into a pole. 249 00:13:49,569 --> 00:13:50,759 Carousel into a pole. 250 00:13:50,760 --> 00:13:52,280 All right. 251 00:13:52,990 --> 00:13:53,439 It's, 252 00:13:56,600 --> 00:13:58,700 um, I don't think you actually want that Indy. 253 00:14:00,540 --> 00:14:03,939 I think that would hurt your head even more than it hurts mine. 254 00:14:05,989 --> 00:14:08,689 Um, actually, no, I think I did drop the wrong one. 255 00:14:08,689 --> 00:14:13,100 And that one, I think does just a carousel post. 256 00:14:13,730 --> 00:14:17,140 This one here. 257 00:14:20,430 --> 00:14:21,580 Here, take that one. 258 00:14:26,100 --> 00:14:26,460 Uh, let's see. 259 00:14:30,170 --> 00:14:30,560 Okay. 260 00:14:31,130 --> 00:14:31,590 Um. 261 00:14:31,630 --> 00:14:33,560 Actually, while you're trying that out, you want to check 262 00:14:33,560 --> 00:14:35,200 on, uh, Stephanie's question? 263 00:14:35,860 --> 00:14:36,040 Sorry. 264 00:14:36,280 --> 00:14:36,610 Yes. 265 00:14:36,640 --> 00:14:37,139 Thank you. 266 00:14:39,090 --> 00:14:43,949 Uh, do we want to help ChatGPT by limiting the number of words we use in our prompts? 267 00:14:44,060 --> 00:14:48,290 For example, would it help if instead of typing the word and, we used an ampersand? 268 00:14:48,735 --> 00:14:50,055 Or does that not matter? 269 00:14:52,605 --> 00:14:58,925 So you're not helping chatGBT, you're helping yourself with that. 270 00:14:59,235 --> 00:14:59,645 Okay? 271 00:14:59,715 --> 00:15:04,245 Because remember that the point of it is, especially in 3. 272 00:15:04,245 --> 00:15:07,405 5 and 3, you're limited in terms of the number of words. 273 00:15:09,354 --> 00:15:09,814 Right. 274 00:15:10,285 --> 00:15:13,854 Um, and really it's about characters more than it is actual words. 275 00:15:13,854 --> 00:15:16,884 But, you know, as humans, we don't think in characters we think in words. 276 00:15:17,405 --> 00:15:20,625 Um, and so it's an approximate of about 4000 words. 277 00:15:21,555 --> 00:15:21,905 Right. 278 00:15:22,334 --> 00:15:28,429 Um, so that's not actually going to when you do that to you. 279 00:15:29,480 --> 00:15:33,580 You limit the number of words so that it can return more response to you. 280 00:15:33,840 --> 00:15:34,680 That's the bottom line. 281 00:15:35,610 --> 00:15:39,329 And and versus ampersand is not going to make enough of a difference to care. 282 00:15:41,190 --> 00:15:45,360 Have you counted the words in your, like, killer first 283 00:15:45,360 --> 00:15:47,080 prompt that's three pages long? 284 00:15:48,064 --> 00:15:48,594 I haven't. 285 00:15:48,874 --> 00:15:49,954 It just works every time. 286 00:15:57,094 --> 00:16:00,444 And believe me, I have some prompts that don't work every time. 287 00:16:04,065 --> 00:16:07,144 I have, we uh, we did a prompt. 288 00:16:07,925 --> 00:16:10,255 So, real talk for a moment. 289 00:16:11,005 --> 00:16:14,314 One of the things that we're working on right now is LinkedIn prospecting. 290 00:16:14,654 --> 00:16:17,365 And, anybody use LinkedIn Sales Navigator? 291 00:16:21,605 --> 00:16:30,494 The whole point of, of, A GPT model is that an AI is that it takes a bunch 292 00:16:30,494 --> 00:16:35,255 of data and finds commonalities and data that the human eye can't see. 293 00:16:35,829 --> 00:16:36,439 Just the whole point. 294 00:16:36,880 --> 00:16:41,310 And then it predicts what's, what the next set of responses will be. 295 00:16:41,740 --> 00:16:42,080 Okay. 296 00:16:42,660 --> 00:16:48,519 So we got the bright idea in LinkedIn Navigator, um, because we always just 297 00:16:48,520 --> 00:16:54,699 get stuck with the, um, the criteria for Navigator to find the people that we want. 298 00:16:55,870 --> 00:16:57,020 And so we got the bright idea. 299 00:16:57,060 --> 00:17:03,575 Could we write a prompt that took the profiles of Five LinkedIn 300 00:17:03,585 --> 00:17:10,744 navigator people that are our ideal customer and then create the 301 00:17:12,145 --> 00:17:16,554 LinkedIn navigator search for those. 302 00:17:18,665 --> 00:17:20,345 Anybody interested in something like that? 303 00:17:23,815 --> 00:17:24,235 Yeah. 304 00:17:24,425 --> 00:17:25,775 We were super interested too. 305 00:17:26,124 --> 00:17:30,695 And we got it to the point where it will only take two, 306 00:17:31,145 --> 00:17:32,365 it will only take two profiles. 307 00:17:32,755 --> 00:17:34,635 We go to three profiles and it just craps. 308 00:17:34,980 --> 00:17:38,860 Every time, but two profiles is not enough to actually give you enough 309 00:17:38,860 --> 00:17:42,530 data to find anything worthwhile that the human eye couldn't see. 310 00:17:45,460 --> 00:17:46,400 So we're still working on that. 311 00:17:46,400 --> 00:17:51,530 And if we get it done, I'll let you know, let me rephrase when we get it done. 312 00:17:51,729 --> 00:17:52,320 I'll let you know, 313 00:17:57,670 --> 00:18:02,260 but that's kind of my point about why prompt engineering is, is important 314 00:18:02,610 --> 00:18:05,580 because it allows us and why having these conversations are important. 315 00:18:07,470 --> 00:18:12,830 Six weeks ago, we would have never thought of that, but because we're using 316 00:18:12,830 --> 00:18:17,800 prompts to help us ideate our generic content or not generic, general content 317 00:18:17,800 --> 00:18:21,409 for our clients now, and that's sped up and given us so much time back. 318 00:18:21,649 --> 00:18:25,389 Now it's allowing us to solve problems that we didn't even 319 00:18:25,399 --> 00:18:27,100 realize we could solve before. 320 00:18:29,740 --> 00:18:30,709 That's the beauty. 321 00:18:31,385 --> 00:18:32,675 Of what AI can do for us. 322 00:18:34,405 --> 00:18:34,504 Yes. 323 00:18:34,675 --> 00:18:36,965 Actually, I just got another question from Michelle. 324 00:18:36,975 --> 00:18:38,985 I must have probably in the chat or something. 325 00:18:39,385 --> 00:18:42,944 Uh, do you start every chat with the master base prompts or do you 326 00:18:42,945 --> 00:18:45,965 start a new chat and tell it to refer to the master base prompt 327 00:18:45,965 --> 00:18:47,115 chat that you've already saved? 328 00:18:48,075 --> 00:18:49,375 So that's a good question. 329 00:18:49,465 --> 00:18:51,984 Um, no, I don't start every prompt with the master chat. 330 00:18:51,985 --> 00:18:55,345 The master chat is for when, like how Jeff was doing when 331 00:18:55,345 --> 00:18:57,895 he had his different clients. 332 00:18:58,665 --> 00:19:03,905 And you have a chat that's generating content for this client. 333 00:19:04,275 --> 00:19:04,955 That's when you do it. 334 00:19:04,965 --> 00:19:08,754 If you're just asking a one off question, no need, 335 00:19:12,795 --> 00:19:14,324 no need to go through all that because it's a lot. 336 00:19:14,354 --> 00:19:18,495 It takes, it's going to take a good 45 minutes to set it up correctly. 337 00:19:19,854 --> 00:19:20,255 No need. 338 00:19:21,805 --> 00:19:24,575 But if you're going to return to this for the next eight weeks, 339 00:19:24,575 --> 00:19:26,405 then yeah, it's worth the time. 340 00:19:30,875 --> 00:19:31,035 All right. 341 00:19:31,125 --> 00:19:31,355 Let's see. 342 00:19:31,355 --> 00:19:32,275 We got Vicky too. 343 00:19:32,275 --> 00:19:34,275 Another question, Bard or ChatGPT. 344 00:19:34,675 --> 00:19:35,935 This space is moving so much. 345 00:19:36,310 --> 00:19:42,330 Uh, how the space is moving so much, how much have you played with Bard 346 00:19:42,350 --> 00:19:44,610 and what and who is it better for? 347 00:19:45,500 --> 00:19:46,770 So that's a really great question. 348 00:19:46,770 --> 00:19:47,820 I'm going to answer it in this way. 349 00:19:48,200 --> 00:19:53,970 Um, so in case you hadn't noticed, Jasper uses four different 350 00:19:54,219 --> 00:19:56,409 models to produce content. 351 00:19:57,509 --> 00:20:00,020 And if you actually listen to them, there's actually 352 00:20:00,020 --> 00:20:01,500 five models that they use. 353 00:20:02,475 --> 00:20:04,625 If you're really, really listening, okay? 354 00:20:04,905 --> 00:20:05,795 Why is that? 355 00:20:06,055 --> 00:20:10,045 Because every single model does something different and does 356 00:20:10,055 --> 00:20:11,755 something better than another one. 357 00:20:12,745 --> 00:20:20,074 So if, if you want to write in my opinion, just straight writing, Bard wins. 358 00:20:21,764 --> 00:20:25,455 If you want ideation, chat, GPT wins. 359 00:20:27,885 --> 00:20:32,704 We're building an app right now that is designed to help you with 360 00:20:33,054 --> 00:20:37,735 ideation of video content, basically everything that we do at our agency, 361 00:20:38,125 --> 00:20:40,474 it's encapsulated inside of one app. 362 00:20:40,674 --> 00:20:41,885 And so we're going to be doing that. 363 00:20:41,885 --> 00:20:44,565 We're going to be using two or three different models to 364 00:20:44,575 --> 00:20:46,645 help produce content because. 365 00:20:47,730 --> 00:20:51,510 Bard's going to do a better job writing a video script, whereas chat 366 00:20:51,830 --> 00:20:58,199 GPT will do a better job writing the, um, the, the, the title, right? 367 00:20:58,320 --> 00:20:58,870 And who knows? 368 00:20:58,900 --> 00:21:01,380 Anthropic may do something else better than, than the others. 369 00:21:01,590 --> 00:21:04,320 And so we may use two or three different things to pull together 370 00:21:04,320 --> 00:21:05,709 to create one piece of content. 371 00:21:07,980 --> 00:21:09,089 These are tools. 372 00:21:09,090 --> 00:21:10,210 They're not AI, 373 00:21:17,219 --> 00:21:19,150 like mid journey in your process? 374 00:21:19,170 --> 00:21:21,110 So prompt engineering and mid journey. 375 00:21:21,505 --> 00:21:27,835 I'm not, you know, and, and, um, honestly, here's why I spend so much time in, um, 376 00:21:27,885 --> 00:21:31,285 written prompt response and engineering. 377 00:21:31,805 --> 00:21:34,555 And I know that world. 378 00:21:34,965 --> 00:21:41,834 And the reality of the fact that I am visually a dunce. 379 00:21:44,190 --> 00:21:45,590 You just haven't practiced it. 380 00:21:45,630 --> 00:21:46,490 That's all it is. 381 00:21:46,920 --> 00:21:51,500 It's when I need some, I'm just going to call Mark cause he's super good at it. 382 00:21:53,540 --> 00:21:55,940 I will say that the prompt engineering definitely has an 383 00:21:55,949 --> 00:21:57,410 application within mid journey. 384 00:21:57,440 --> 00:22:02,380 The big difference between something like chat, GPT and mid journey or any of the 385 00:22:02,380 --> 00:22:05,170 graphic kind of creators is there is some. 386 00:22:05,480 --> 00:22:10,220 Abstract aspects to it, like the stylized function on mid journey. 387 00:22:10,520 --> 00:22:11,800 What the heck does that mean? 388 00:22:12,050 --> 00:22:16,070 You know, it's, uh, it's kind of a term that's thrown around, but 389 00:22:16,100 --> 00:22:18,090 you can't really decide what it is. 390 00:22:18,360 --> 00:22:21,910 So, whereas you could be hyper specific or at least a lot more 391 00:22:21,910 --> 00:22:25,810 specific with the chat GPT, it's a little harder with mid journey. 392 00:22:25,810 --> 00:22:27,210 And a lot of those, because it's. 393 00:22:27,495 --> 00:22:29,155 It's an art platform, essentially. 394 00:22:29,165 --> 00:22:32,035 So you have to incorporate that lack of science into it. 395 00:22:32,095 --> 00:22:35,075 But with that said, there is a way to phrase information. 396 00:22:35,075 --> 00:22:37,895 There's a way to manipulate, uh, you know, specific prompts. 397 00:22:38,345 --> 00:22:42,475 Uh, and it does have a few more of those, uh, kind of tailored aspects 398 00:22:42,505 --> 00:22:46,644 like the stylized function, uh, that you don't have on chat GPT. 399 00:22:47,915 --> 00:22:49,935 Can I share one last thing, Mark, before we go? 400 00:22:50,850 --> 00:22:54,790 All right, so showed you some a little bit abstract. 401 00:22:55,230 --> 00:22:55,600 Okay. 402 00:22:55,750 --> 00:22:59,550 Um, so here's my master prompt again, uh, big thing that I changed this time 403 00:22:59,600 --> 00:23:03,389 is look at the, um, the expert, right? 404 00:23:03,549 --> 00:23:07,690 So my expert is an expert in content marketing. 405 00:23:08,089 --> 00:23:09,670 Looks like Clark Kent. 406 00:23:10,274 --> 00:23:13,135 But has a friend, Atiba, who is Superman. 407 00:23:14,455 --> 00:23:20,445 They have run a content marketing agency and currently are the president of digital 408 00:23:20,454 --> 00:23:23,014 marketer, educate an education company. 409 00:23:23,254 --> 00:23:27,485 Anybody know who that is, by the way, just a random friend of mine. 410 00:23:29,185 --> 00:23:30,874 Um, the rest of this stayed the same. 411 00:23:30,955 --> 00:23:34,774 Then I asked it to produce a video script about how to make money. 412 00:23:35,225 --> 00:23:36,995 raising chickens in Texas. 413 00:23:40,195 --> 00:23:46,345 Um, and it wrote a pretty decent, goofy, silly little script. 414 00:23:46,655 --> 00:23:48,594 And he said, okay, that's just another silly example. 415 00:23:48,605 --> 00:23:50,884 Let's get, get real though, T, but we're not writing scripts 416 00:23:50,884 --> 00:23:51,855 about chickens in Texas. 417 00:23:51,855 --> 00:23:52,325 Okay, great. 418 00:23:52,624 --> 00:23:57,494 So what about a blog outline about the customer journey, customer value journey? 419 00:23:57,785 --> 00:24:01,480 Well, he gave me a blog outline and by the way, It knew that 420 00:24:01,879 --> 00:24:03,330 this should have eight stages. 421 00:24:03,510 --> 00:24:06,370 We're on the right track, because it's not one of those four stage 422 00:24:06,370 --> 00:24:08,659 customer value journeys, right? 423 00:24:09,019 --> 00:24:10,449 So it gives me this blog outline. 424 00:24:10,499 --> 00:24:10,979 Okay, great. 425 00:24:11,079 --> 00:24:13,679 What about, um, something, let's get a little SEO now. 426 00:24:13,699 --> 00:24:16,169 Let's get some, some keywords, some, and semantic keywords. 427 00:24:16,169 --> 00:24:16,809 How does that work? 428 00:24:16,819 --> 00:24:20,229 Okay, so I'm looking for keywords and semantic keywords, and the expert for 429 00:24:20,289 --> 00:24:23,399 a blog, and same blog title here, and 430 00:24:27,179 --> 00:24:28,429 it's going to give me some stuff as well. 431 00:24:33,290 --> 00:24:37,090 So you can absolutely use this for very, very practical things. 432 00:24:37,710 --> 00:24:38,100 As well. 433 00:24:38,520 --> 00:24:39,430 That was my last example. 434 00:24:40,680 --> 00:24:41,180 Awesome. 435 00:24:41,190 --> 00:24:42,320 Well, thank you so much, Atiba. 436 00:24:42,320 --> 00:24:44,440 I think, uh, you know, the whole format is huge. 437 00:24:44,500 --> 00:24:48,980 Um, people will definitely need to rewatch this episode if you're not 438 00:24:48,980 --> 00:24:52,920 familiar with, uh, you know, prompt engineering, but once you understand 439 00:24:52,920 --> 00:24:56,360 it, it makes a huge difference in terms of how well you're able to 440 00:24:56,379 --> 00:25:00,130 consistently produce the results that you're looking for, uh, with chat GPT. 441 00:25:00,139 --> 00:25:02,000 So Atiba, thank you. 442 00:25:02,060 --> 00:25:04,820 Uh, where can people find out more about you and maybe get some more 443 00:25:04,820 --> 00:25:06,390 of that, uh, prompt magic going. 444 00:25:07,060 --> 00:25:07,380 Yeah. 445 00:25:07,380 --> 00:25:09,780 So listen, all seriousness, I want to help you. 446 00:25:10,040 --> 00:25:10,340 Okay. 447 00:25:10,400 --> 00:25:11,370 I want to answer your questions. 448 00:25:11,370 --> 00:25:14,760 I know you're going to have a lot and they're probably stuff that I've run into. 449 00:25:15,090 --> 00:25:17,410 Um, the best way to do that is go to meet Atiba. 450 00:25:17,840 --> 00:25:19,619 That's A T I B I A. 451 00:25:20,140 --> 00:25:20,720 That's my name. 452 00:25:21,120 --> 00:25:22,090 Meet Atiba. 453 00:25:22,090 --> 00:25:22,340 com. 454 00:25:22,340 --> 00:25:24,050 That's going to take you to my LinkedIn. 455 00:25:24,110 --> 00:25:25,590 You're going to go directly to my LinkedIn. 456 00:25:25,830 --> 00:25:28,750 Once you get there, connect with me, send me a message. 457 00:25:29,314 --> 00:25:29,915 Let's talk. 458 00:25:30,935 --> 00:25:31,804 Drop me a prompt. 459 00:25:32,284 --> 00:25:32,945 Let me help you. 460 00:25:34,884 --> 00:25:35,334 Love it. 461 00:25:36,415 --> 00:25:37,465 Well, thank you so much, Dipa. 462 00:25:37,465 --> 00:25:40,855 I definitely met recommend, you know, since this is fresh in your head, that you 463 00:25:40,855 --> 00:25:43,284 go ahead and, uh, try some of these out. 464 00:25:43,375 --> 00:25:45,895 Uh, that way you have them saved in the chat and you can see if 465 00:25:45,895 --> 00:25:47,185 they work or, or they don't. 466 00:25:47,215 --> 00:25:51,235 But, uh, or you know, if you need to rephrase, uh, but you know, at 467 00:25:51,235 --> 00:25:53,125 Dipa, like I said, excellent content. 468 00:25:53,185 --> 00:25:55,824 Uh, love that you continue to develop it since the last time 469 00:25:55,824 --> 00:25:59,815 I heard it, and I am definitely gonna start employing this as well. 470 00:25:59,815 --> 00:26:01,525 Maybe I'll make a version for. 471 00:26:01,880 --> 00:26:04,780 Uh, you know, mid journey or those, uh, kind of visual aspects, 472 00:26:04,980 --> 00:26:07,890 uh, but it's all applicable, so very much appreciate your time. 473 00:26:08,570 --> 00:26:09,490 Oh, my pleasure. 474 00:26:10,690 --> 00:26:10,930 Thank you. 475 00:26:10,930 --> 00:26:11,740 All right. 476 00:26:11,960 --> 00:26:14,480 So make sure if you can drop your examples. 477 00:26:14,480 --> 00:26:17,980 We want to see your work, the show your work discussion in the slack channel. 478 00:26:18,600 --> 00:26:21,179 Really appreciate if you made some of those and maybe 479 00:26:21,180 --> 00:26:22,470 just summarize your results. 480 00:26:22,530 --> 00:26:25,430 See if this methodology really improve what you were doing. 481 00:26:26,090 --> 00:26:29,474 We'd love to hear those case studies and also your review of the session itself. 482 00:26:29,625 --> 00:26:32,295 Uh, as a reminder, this call has been recorded and will be 483 00:26:32,305 --> 00:26:34,115 available within the next 24 hours. 484 00:26:34,125 --> 00:26:39,345 It's should be up, you know, instantly on the Slack page, but, uh, within an hour, 485 00:26:39,444 --> 00:26:42,965 uh, probably no less, and then you could rewatch it because you might need to a 486 00:26:42,965 --> 00:26:45,065 couple of times and pause, use the pause. 487 00:26:46,195 --> 00:26:46,795 All right. 488 00:26:46,825 --> 00:26:50,465 On Wednesday, we have our podcasting session. 489 00:26:50,775 --> 00:26:54,895 So it's going to be Jeremy and he has a bunch of successful podcasts. 490 00:26:54,895 --> 00:26:58,605 He helped podcasters and he actually uses a variety of completely different 491 00:26:58,615 --> 00:27:01,124 tools that we haven't even discussed yet. 492 00:27:01,144 --> 00:27:03,095 So definitely don't miss Wednesday. 493 00:27:03,425 --> 00:27:07,545 You're going to learn a ton about podcasting and about how to really 494 00:27:07,555 --> 00:27:11,265 simplify your podcast creation process using Jeremy's techniques. 495 00:27:11,345 --> 00:27:14,225 So tune back in, in a couple of days. 496 00:27:14,890 --> 00:27:17,980 And have fun with chat GPT in the meantime, really appreciate y'all. 38312

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