So in order to study the implications of the long chain announcement A, we are going to use our approach
of dividing the screen in these two parts.
So what you will see here is the presentation you can download and also the notebook with detail information.
So the first thing you have here in the notebook is a link to the long chain announcement.
So here you have it.
This is the article in the blog that that Long Chain publishes on February the 15th announcing these
two things the general availability of language, myth and and the series a investment led by Sequoia
Capital.
So what are they saying here and why this is so important in our opinion?
So first we told you so.
So if you remember in our online bootcamp when in February 2024, we launched the first online bootcamp
on generative AI and app development worldwide.
We told you that this field was still in a very early stage, and that you should expect a lot of changes
in the coming months and years.
And a few days later, we had one of these significant changes.
So what did Long Chain said in this, uh, February announcement?
So the first thing is that Lang Lang Smith, the LLM ops platform, uh, by Lang Chain, goes from beta
to production.
They have been improving this platform using users feedback since July 2023, and they have been investing
in infrastructure.
So this is very important because if you remember when we initially talk about Lang Smith in our bootcamp,
we told you this is still in beta.
It seems promising.
We don't know what is going to happen with it.
Okay, now we know that it is, uh, going more and more solid.
Okay.
This is a very important step from the team in Lang chain announcing the general availability of Lang
Smith.
If you remember before this step, you had to use a waiting list, you know, in order to, to, to
try Lang Smith, etc..
Right.
So we are going to see what are the changes apart from this one.
But in this announcement a Lang chain said two other very important things in our opinion.
First, the 25 million series A investment led by Sequoia Capital in launching this, uh, of course,
talks about the future and the resources of Lang Chain.
And third, the description of the full professional LM app development cycle and the role of Lang Smith
through it all.
So in this announcement, in order to present us what Lang Smith does, Lang Chain is sharing.
The conclusions they got from.
Almost one year studying LM app development teams working in their language myth platform.
So this is an extremely valuable information for us because they are talking about professional LM applications.
So this is going to be super interesting for us in order to understand, in order to learn what are
not just the steps in the development cycle and an operations cycle.
LM ops cycles, but also the challenges you are going to find in this cycle, and also how to solve
these challenges, in this case with the help of Lang Smith.
So this is extremely important.
The two implications, in our opinion, from this long chain announcement are.
First, the business model of long chain seems more clear.
If you remember before we didn't know how long chain was going to make money.
Now we know because when they announce the long Smith a general availability, they also announce a
subscription based model.
So this is a way to monetize a business.
We are starting to understand this.
And this is very important for the future of long chain.
And for us it's very important because it tells us about the stability of this framework.
So this framework is here to stay.
Second thing, the stability and the future of land chain are also more clear.
Okay, so this announcement says much more about a about land chain than it seems at first glance.
Okay.
So this is extremely important.
In this article, Lan Chen describes the full professional LM app production cycle and how to use language
myth through it all.
So you will see that a long chain is describing a process, a cycle that is the one we have drawn in
in this, uh, slides in the previous presentation, you you had this cycle in three different colors.
You are going to see this a lot in this blog because we are going to talk about it a lot.
So, uh, in summary, they are describing three main phases prototyping, beta testing and production,
which is not new for us because these are very common in in app development.
But we wanted to know how this applies in LM app development, especially in professional LM app development.
So LAN chain has done a great job.
Telling us what they are seeing in this beta.
Users using long chain during the first months in the life of Lang Smith.
Okay, so a regarding the prototyping phase.
A we know that a this is the phase where we develop the first prototype of the application, and we
are going to see how we can use Lang Smith in order to solve the challenges we are facing on each a
in this phase.
This is going to be the next lesson for us.
For now, I only want to tell you about these three phases of the LM app development.
Production cycle prototyping when we develop the first prototype of our application.
Beta testing.
When we test our prototype with real users and get their feedback to make improvements and production.
When we monitor the performance of our application and keep improving it.
So next we are going to see the challenges.
The long chain team has found in each of these stages the main challenges they have found.
LM application Development teams are finding on each of these stages.
First, we are going to see the main challenges, and then we will see how to solve these challenges
using Lang Smith.
And finally we will see Lang Smith at work solving this particular problems with real applications.