1 00:00:03,160 --> 00:00:16,090 So in order to study the implications of the long chain announcement A, we are going to use our approach 2 00:00:16,090 --> 00:00:19,300 of dividing the screen in these two parts. 3 00:00:19,300 --> 00:00:29,680 So what you will see here is the presentation you can download and also the notebook with detail information. 4 00:00:29,680 --> 00:00:36,790 So the first thing you have here in the notebook is a link to the long chain announcement. 5 00:00:37,180 --> 00:00:39,640 So here you have it. 6 00:00:39,640 --> 00:00:48,490 This is the article in the blog that that Long Chain publishes on February the 15th announcing these 7 00:00:48,490 --> 00:00:57,910 two things the general availability of language, myth and and the series a investment led by Sequoia 8 00:00:57,910 --> 00:00:58,510 Capital. 9 00:00:58,510 --> 00:01:05,740 So what are they saying here and why this is so important in our opinion? 10 00:01:06,220 --> 00:01:08,890 So first we told you so. 11 00:01:08,890 --> 00:01:17,830 So if you remember in our online bootcamp when in February 2024, we launched the first online bootcamp 12 00:01:17,830 --> 00:01:22,780 on generative AI and app development worldwide. 13 00:01:22,780 --> 00:01:30,310 We told you that this field was still in a very early stage, and that you should expect a lot of changes 14 00:01:30,310 --> 00:01:32,680 in the coming months and years. 15 00:01:33,010 --> 00:01:39,940 And a few days later, we had one of these significant changes. 16 00:01:40,630 --> 00:01:49,450 So what did Long Chain said in this, uh, February announcement? 17 00:01:49,600 --> 00:02:02,050 So the first thing is that Lang Lang Smith, the LLM ops platform, uh, by Lang Chain, goes from beta 18 00:02:02,050 --> 00:02:02,980 to production. 19 00:02:04,340 --> 00:02:15,980 They have been improving this platform using users feedback since July 2023, and they have been investing 20 00:02:15,980 --> 00:02:17,120 in infrastructure. 21 00:02:17,920 --> 00:02:26,440 So this is very important because if you remember when we initially talk about Lang Smith in our bootcamp, 22 00:02:26,440 --> 00:02:29,080 we told you this is still in beta. 23 00:02:29,080 --> 00:02:30,580 It seems promising. 24 00:02:30,580 --> 00:02:32,890 We don't know what is going to happen with it. 25 00:02:32,890 --> 00:02:40,030 Okay, now we know that it is, uh, going more and more solid. 26 00:02:40,030 --> 00:02:40,540 Okay. 27 00:02:40,540 --> 00:02:47,980 This is a very important step from the team in Lang chain announcing the general availability of Lang 28 00:02:47,980 --> 00:02:48,280 Smith. 29 00:02:48,280 --> 00:02:56,920 If you remember before this step, you had to use a waiting list, you know, in order to, to, to 30 00:02:56,920 --> 00:02:58,930 try Lang Smith, etc.. 31 00:02:58,930 --> 00:02:59,290 Right. 32 00:02:59,290 --> 00:03:04,840 So we are going to see what are the changes apart from this one. 33 00:03:04,840 --> 00:03:12,460 But in this announcement a Lang chain said two other very important things in our opinion. 34 00:03:12,460 --> 00:03:23,020 First, the 25 million series A investment led by Sequoia Capital in launching this, uh, of course, 35 00:03:23,020 --> 00:03:28,030 talks about the future and the resources of Lang Chain. 36 00:03:28,510 --> 00:03:38,380 And third, the description of the full professional LM app development cycle and the role of Lang Smith 37 00:03:38,380 --> 00:03:39,370 through it all. 38 00:03:39,370 --> 00:03:51,760 So in this announcement, in order to present us what Lang Smith does, Lang Chain is sharing. 39 00:03:52,950 --> 00:03:56,580 The conclusions they got from. 40 00:03:57,560 --> 00:04:05,540 Almost one year studying LM app development teams working in their language myth platform. 41 00:04:05,540 --> 00:04:14,720 So this is an extremely valuable information for us because they are talking about professional LM applications. 42 00:04:14,720 --> 00:04:22,610 So this is going to be super interesting for us in order to understand, in order to learn what are 43 00:04:22,610 --> 00:04:29,330 not just the steps in the development cycle and an operations cycle. 44 00:04:29,360 --> 00:04:38,030 LM ops cycles, but also the challenges you are going to find in this cycle, and also how to solve 45 00:04:38,030 --> 00:04:42,200 these challenges, in this case with the help of Lang Smith. 46 00:04:42,200 --> 00:04:45,020 So this is extremely important. 47 00:04:45,590 --> 00:04:51,350 The two implications, in our opinion, from this long chain announcement are. 48 00:04:51,350 --> 00:04:56,510 First, the business model of long chain seems more clear. 49 00:04:56,510 --> 00:05:02,090 If you remember before we didn't know how long chain was going to make money. 50 00:05:02,090 --> 00:05:10,790 Now we know because when they announce the long Smith a general availability, they also announce a 51 00:05:10,790 --> 00:05:12,770 subscription based model. 52 00:05:12,980 --> 00:05:17,240 So this is a way to monetize a business. 53 00:05:17,240 --> 00:05:19,490 We are starting to understand this. 54 00:05:19,490 --> 00:05:23,090 And this is very important for the future of long chain. 55 00:05:23,090 --> 00:05:29,390 And for us it's very important because it tells us about the stability of this framework. 56 00:05:29,390 --> 00:05:31,790 So this framework is here to stay. 57 00:05:32,490 --> 00:05:38,400 Second thing, the stability and the future of land chain are also more clear. 58 00:05:38,400 --> 00:05:47,910 Okay, so this announcement says much more about a about land chain than it seems at first glance. 59 00:05:47,910 --> 00:05:48,600 Okay. 60 00:05:49,080 --> 00:05:52,380 So this is extremely important. 61 00:05:53,330 --> 00:06:04,820 In this article, Lan Chen describes the full professional LM app production cycle and how to use language 62 00:06:04,820 --> 00:06:06,080 myth through it all. 63 00:06:06,980 --> 00:06:17,810 So you will see that a long chain is describing a process, a cycle that is the one we have drawn in 64 00:06:17,810 --> 00:06:24,590 in this, uh, slides in the previous presentation, you you had this cycle in three different colors. 65 00:06:24,590 --> 00:06:29,570 You are going to see this a lot in this blog because we are going to talk about it a lot. 66 00:06:29,570 --> 00:06:40,130 So, uh, in summary, they are describing three main phases prototyping, beta testing and production, 67 00:06:40,130 --> 00:06:45,710 which is not new for us because these are very common in in app development. 68 00:06:45,710 --> 00:06:54,980 But we wanted to know how this applies in LM app development, especially in professional LM app development. 69 00:06:54,980 --> 00:06:58,910 So LAN chain has done a great job. 70 00:06:59,730 --> 00:07:03,870 Telling us what they are seeing in this beta. 71 00:07:03,870 --> 00:07:10,560 Users using long chain during the first months in the life of Lang Smith. 72 00:07:10,560 --> 00:07:16,650 Okay, so a regarding the prototyping phase. 73 00:07:17,630 --> 00:07:26,390 A we know that a this is the phase where we develop the first prototype of the application, and we 74 00:07:26,390 --> 00:07:38,090 are going to see how we can use Lang Smith in order to solve the challenges we are facing on each a 75 00:07:38,300 --> 00:07:39,380 in this phase. 76 00:07:39,380 --> 00:07:41,990 This is going to be the next lesson for us. 77 00:07:41,990 --> 00:07:50,990 For now, I only want to tell you about these three phases of the LM app development. 78 00:07:50,990 --> 00:07:58,010 Production cycle prototyping when we develop the first prototype of our application. 79 00:07:58,720 --> 00:08:00,100 Beta testing. 80 00:08:00,100 --> 00:08:08,530 When we test our prototype with real users and get their feedback to make improvements and production. 81 00:08:08,740 --> 00:08:14,530 When we monitor the performance of our application and keep improving it. 82 00:08:14,710 --> 00:08:19,600 So next we are going to see the challenges. 83 00:08:21,460 --> 00:08:30,700 The long chain team has found in each of these stages the main challenges they have found. 84 00:08:30,790 --> 00:08:37,690 LM application Development teams are finding on each of these stages. 85 00:08:37,690 --> 00:08:44,620 First, we are going to see the main challenges, and then we will see how to solve these challenges 86 00:08:44,620 --> 00:08:46,780 using Lang Smith. 87 00:08:47,290 --> 00:08:55,750 And finally we will see Lang Smith at work solving this particular problems with real applications.