1 00:00:06,760 --> 00:00:10,330 So we are very close to completing the program. 2 00:00:10,330 --> 00:00:20,050 And once you finish the program and start working as an artificial intelligence engineer or LM application 3 00:00:20,050 --> 00:00:26,320 developer or engineer, you will see that one of the challenges you are going to find is how to keep 4 00:00:26,320 --> 00:00:36,520 up to date with your industry, with all the news, all the a different matters, all the different 5 00:00:36,520 --> 00:00:42,310 courses, all the different frameworks that appear every month in our industry. 6 00:00:43,090 --> 00:00:54,640 In at the end of the year 2023, in the International Congress of Artificial Intelligence, engineers 7 00:00:54,640 --> 00:01:03,910 celebrated in San Francisco, which was the first one, uh, uh, in the world, uh, there was a survey 8 00:01:03,910 --> 00:01:10,450 around among the artificial intelligence engineer, and one of the question was, uh, about the top 9 00:01:10,450 --> 00:01:14,560 information channels they, uh, use. 10 00:01:14,560 --> 00:01:22,750 So we have included in the attached materials, uh, the list of the top newsletters, the top podcasts, 11 00:01:22,750 --> 00:01:31,780 and the top communities, uh, for artificial intelligence engineers, in some cases, we personally 12 00:01:31,780 --> 00:01:35,950 agree with the most popular ones, and in some others we don't. 13 00:01:35,950 --> 00:01:43,720 So we will give you our opinion regarding the top newsletters, the most popular newsletters for artificial 14 00:01:43,720 --> 00:01:50,170 intelligence engineers right now, and you will have the URL, the links to to all these newsletters 15 00:01:50,170 --> 00:01:52,960 in the attached, uh, materials. 16 00:01:52,960 --> 00:01:56,950 Right now the top newsletters are import AI. 17 00:01:58,080 --> 00:01:58,740 Our chief. 18 00:01:58,740 --> 00:02:01,200 Round up the batch. 19 00:02:01,710 --> 00:02:04,170 Artificial intelligence. 20 00:02:04,620 --> 00:02:08,160 Alpha signal ahead of AI. 21 00:02:08,699 --> 00:02:10,350 Ben's bites. 22 00:02:10,650 --> 00:02:12,750 Deepgram data. 23 00:02:12,750 --> 00:02:15,090 Macchina and the sequence. 24 00:02:15,990 --> 00:02:26,580 In our own experience, we would recommend the third one, the batch, which is, uh, from a very, 25 00:02:26,580 --> 00:02:33,390 very, uh, uh, from people with high reputation. 26 00:02:34,070 --> 00:02:36,230 So these are very good one. 27 00:02:38,070 --> 00:02:45,810 In the podcast list, we have a latent space as the most popular one. 28 00:02:45,810 --> 00:02:54,960 Latent space is the podcast, uh, from the organizers of the AI engineers uh, summit. 29 00:02:54,960 --> 00:03:03,900 So this is the the team that has organized the first, uh, AI engineers encounter or summit or Congress 30 00:03:03,900 --> 00:03:05,910 worldwide in San Francisco. 31 00:03:05,910 --> 00:03:10,110 And their podcast is a super detailed podcast. 32 00:03:10,110 --> 00:03:12,990 Very, uh, very interesting to follow. 33 00:03:12,990 --> 00:03:23,250 Then you have gradient descent, the cognitive revolution, the gradient this week in machine learning, 34 00:03:23,400 --> 00:03:31,650 machine learning, straight talk, wavy wavy, eight podcasts, Robot Brains, No Priors, and practical 35 00:03:31,650 --> 00:03:32,340 AI. 36 00:03:32,370 --> 00:03:36,330 In our own experience, we would recommend from this list. 37 00:03:36,330 --> 00:03:43,770 Apart from the first one, the Latent Space, we would recommend the web eight podcast that includes 38 00:03:43,770 --> 00:03:50,430 interesting interviews, uh, with technical people and also no priors. 39 00:03:50,430 --> 00:03:53,580 No priors is more focused on startups. 40 00:03:54,150 --> 00:04:00,570 It is a it is managed by a venture capital firm in Silicon Valley. 41 00:04:00,570 --> 00:04:08,790 And the interviews there are more focused on, uh, on, you know, new companies, investment trends, 42 00:04:08,790 --> 00:04:11,220 etc. but it's a very interesting podcast. 43 00:04:11,520 --> 00:04:16,140 And finally, a around the, uh, top communities. 44 00:04:16,140 --> 00:04:24,750 We find some of them that are in the LM application space and some others that are not that are more, 45 00:04:24,750 --> 00:04:27,480 uh, general or widely oriented. 46 00:04:28,140 --> 00:04:34,620 For example, the top community in the list, as you will see, is Hacker News, which is part of the 47 00:04:35,190 --> 00:04:36,930 Y Combinator incubator. 48 00:04:38,250 --> 00:04:40,830 Then we have OpenAI. 49 00:04:42,240 --> 00:04:46,620 Luncheon a in both cases, the discord channel. 50 00:04:48,200 --> 00:04:48,410 How? 51 00:04:48,650 --> 00:04:49,610 Hugging face. 52 00:04:51,200 --> 00:04:51,950 Excuse me. 53 00:04:52,880 --> 00:04:53,810 Read it. 54 00:04:57,160 --> 00:04:58,000 Achaleke. 55 00:04:59,340 --> 00:05:06,660 Capacity score, Luther, the score, and some other Reddit communities. 56 00:05:06,690 --> 00:05:08,550 My personal takes. 57 00:05:08,550 --> 00:05:12,570 You will have all the links in the attached materials. 58 00:05:12,570 --> 00:05:22,050 My personal opinion regarding these communities is that the discord channels of long chain Llama index, 59 00:05:22,050 --> 00:05:27,600 even Llama Index, discord channel is not here in the top communities, but I would recommend it. 60 00:05:27,600 --> 00:05:28,440 Long chain. 61 00:05:28,440 --> 00:05:29,460 Discord channel. 62 00:05:29,460 --> 00:05:30,300 Llama index. 63 00:05:30,300 --> 00:05:33,150 Discord channel OpenAI discord channel. 64 00:05:34,120 --> 00:05:38,800 And also a in the hugging face community. 65 00:05:38,830 --> 00:05:43,540 You may find a tons of interesting information as well. 66 00:05:43,780 --> 00:05:51,400 The last comment I would make regarding sources of information and information channels would be that 67 00:05:51,400 --> 00:05:59,680 a Twitter is right now, in my opinion, the main information channel for this community, which as 68 00:05:59,680 --> 00:06:01,480 you know, is so young. 69 00:06:01,900 --> 00:06:10,750 Uh, so if you go to Twitter and you follow, you know, the top, the top leaders in the space, uh, 70 00:06:10,750 --> 00:06:17,920 you will you will be very well informed because on a daily basis, you will see a lot of new, uh, 71 00:06:17,920 --> 00:06:27,340 new things, new comments, new frameworks, new tools, new new programs, etc. we ourselves try to, 72 00:06:27,340 --> 00:06:30,160 uh, provide our own information channels. 73 00:06:30,160 --> 00:06:32,860 We have a blog in AI accelerator. 74 00:06:32,860 --> 00:06:34,510 We have a Twitter channel. 75 00:06:34,510 --> 00:06:37,870 We are also active in different platforms like Twitter. 76 00:06:37,870 --> 00:06:44,800 But these are the top information channels for, uh, artificial intelligence engineer. 77 00:06:44,950 --> 00:06:48,550 And in the, uh, next, uh. 78 00:06:49,550 --> 00:06:54,530 Listen, we are going to say the last words of the program.