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So this is an important update that we are including at the beginning of March 2024.

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Lon Chaney has recently announced the general availability of Lang Smith, their LM ops platform, and

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they have described a the full LM application development cycle as they see it.

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So you will see that for several reasons.

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This announcement of Lang Chain, which also includes the last investment that a venture capital firm

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has made in Lang Lang chain, $25 million.

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This new information is a making Lang chain much more stronger than it was before this announced this

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announcement for us.

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So we thought it was important to share this information with you.

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And as you will see, we have included a several new sections in the program.

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At the end of the program, at the end of the LM ops, uh sections, in order to uh, include all the

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new things that Lang Chain is, uh, presenting, uh, after this announcement.

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So we have a very interesting section, several sections, in fact, uh, about Lang Smith and LM ops

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and how all these, uh, new, uh, things that Lang Chain is announcing, uh, uh, means mean for,

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for us, uh, artificial intelligence engineer.

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So interesting development.

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And I am going to give you a short, very short summary now, and we will go to, uh, more detail in

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a next section at the end of the LM ops.

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But right now, I just wanted to tell you that.

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Yeah.

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So we told you.

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So, uh, we will talk a little bit about that.

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Uh, we will, uh, made we will make a summary of the Lang chain announcement, and we will share with

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you what are the main implications of this announcement in our opinion.

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So this is a chart that you are going to see in the A sections where we talk about the new Lang Smith

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platform.

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If you remember, we have talked about Lang Smith briefly before.

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Lang Lang Smith was a beta version until now.

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So it was a just a promise.

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Now Lang Smith is a reality.

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And we are going to share with you what we have learned from the new Smith platform, everything they

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have shared with us and how this is, is going to be very valuable for you as a artificial intelligence

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engineer.

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So you will see this chart later in the LM ops section where we talk about Lang Smith.

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But now I just wanted to tell you that remember we told you so, uh, we are talking about when we are

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talking about generative AI, we are talking about a field in a very, very, very early stage.

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And this is a very fast moving industry.

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So this is not the only change we are going to see on the way.

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So you will see that this program is going to evolve very quickly as we see the industry, uh, moving

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and changing and evolving.

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And this is this is super exciting for us, but it is also an obligation for us to be very, very,

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very, you know, uh, paying a lot of attention to what is happening and trying to incorporate all

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the changes and all the new things for you as soon as we can.

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And this applies to everything as you as you already know, this applies to to the code.

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So as soon as we as soon as we load, you know, a new exercise, the code evolves.

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We have new versions.

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We we we we.

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So it is a little bit, well, stressing, you know, uh, but I think it's a very interesting moment.

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In fact, it is the best moment to be in the artificial intelligence, in the generative artificial

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intelligence space.

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It is the best moment.

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So I think you are going to be very happy in a few years to, to, uh, to be here right now.

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So first we told you so.

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Second, how can we summarize the announcement Lang Chain made on February 15th, uh, 2024?

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They say that a they announced the general availability of Lang Smith.

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So the Lang Smith platform goes from beta to production.

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Until now, if you wanted to use language Smith, you had to apply for a for a waiting list, etc..

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And Lang Smith was, you know, just like a small promise.

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But now it is a reality.

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It's open for everybody.

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They have three different versions and it is very interesting.

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And as you will see at the end of the program, we have invested a lot of time studying the Lang Smith

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platform and all the possibilities and, uh, all the advantages that it is going to offer you and it

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is going to offer all the, uh, artificial intelligence engineers.

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So this is the first important thing that Lang Chain told us at the at the end of February.

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But the second important thing is that they have received $25 million from one of the top venture capital

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firms in Silicon Valley.

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So what does this mean?

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First, the business model of Lang Chain seems now more clear.

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And this is very important for us because until now, anyone can wonder, uh, how is Lang Chain making

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money?

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Because if this company is not able to make money, this framework is not going to stay for long.

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So it is very important for us to see.

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Okay, Lang chain is, uh, using right now a software, uh, subscription based, uh, model.

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And they have right now a source of income.

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They also have a, you know, a very important source of investment.

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So this company is here to stay very important point.

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Second point, the stability and the future of Lang chain are also more clear.

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They have resources to invest on on their team, you know, on their research, you know, their platform,

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etc. this is very good for us to know, very good for us to know.

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I anticipate that we are going to see similar moves in other.

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Players in the industry, but right now Lansing is leading the way.

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So it's very important to know this third thing.

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This is very interesting.

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The announcement of a long chain is very interesting for us and for our boot camp and for our students,

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because since the beginning, our main focus was the professional approach.

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So if you remember, I told you that one of the the the things that made us start this bootcamp was

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the fact that we were finding so many toy demos, so many courses, videos and and documents and people

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talking about just a hobby, a LM applications.

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And we were a e eager to find professional approaches.

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Right.

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So we wanted to have professional tools in order and professional courses and professional guidance

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in order to build professional l lm applications.

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So everything that calls for a professional approach gets our attention.

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And in the announcement of Lang Smith, we have a lot of that because they don't just announce the general

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availability of Lang Smith and the investment they got.

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The big part of their announcement is to share with us what they have learned during the past year about

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professional LM application development and all these lessons they have shared with us.

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We have studied them, you know, intensively, and we are sharing them with you in the last part of

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the program.

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So in these blogs where you are going to see lm, lm lm ops Lang Smith, we have several blogs there

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that we are including now in the program, you are going to see much more than the description and the

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presentation and the details, because is a super a intensive presentation of the the the full Lang

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Smith platform, I think right now is the best course you are going to find in Lang Smith or all over

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the world.

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It is really powerful.

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But apart from presenting you the Lang Smith platform, what we are doing there is talking about the

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lessons learned by the Lang Chain team during their first year of operations, and one of the main things

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they have been doing is working with professional LM app development teams from all over the world.

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So during one year they have been observing what teams are doing right, what teams are doing wrong,

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what are their pain points, what are the things they need?

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What are the benefits they are they are expecting for from a framework like like Lang Chain, but also

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from a platform like Lang Smith.

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So all these lessons learned that they share with us are extremely, extremely interesting.

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So I really encourage you to, to to look at these, uh, sections, these new sections of the program

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that we are including now talking about Lang Smith, because you are going to learn much more than a

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the different details about this new platform.

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So I think it is a very interesting announcement, and we are really excited to share this news with

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you now.

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Okay.

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So this is what you are going to find in the in the New Language myth sections we have included, we

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you are going to find one section talking about the the full cycle of building a professional applications.

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This is super interesting.

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What are the main challenges that a development teams are finding in each of the stages of the cycle,

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and how language myth solves these challenges?

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Then we see language myth in depth and we see Langs myth at work.

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And this is super interesting because we start with a very basic project using language myth, and then

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we go with one of the most sophisticated professional projects, LM app projects, uh, working with

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language myth as well.

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So I think a our program has, has gone much, much better with the inclusion of these new sections.

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I'm really happy to share this with you.