In this lesson, we will talk about the evolution of artificial intelligence as a science.
We will talk about the universalization of the artificial intelligence.
And finally we will see why LM applications are at the core of.
Revolution.
You are probably familiar with pollution of artificial intelligence as a science.
It all started years ago, like 50 years ago, with the invention of machine learning.
Machine learning was a different way of working with computers.
Until that time we used to ask computers for like a cooking recipe.
We are going to tell them to follow steps one by one.
Step one.
Step two, step three, step four, in order to reach one last result.
With machine learning, we changed that process and we show the computer that result we are looking
for, and just let the computer find out a way to create that for us.
It's a totally different way of communicating ourselves with her.
This is what we call machine learning because the machine, the computer has to learn how to find out
result, the process to get the result.
With the, uh, internet boom, suddenly engineers had millions and millions of data they can guide
to their computers and that the of internet and the big data era with the invention of neural networks
and also of GPUs, which is a kind of hardware that which is using in the machine learning systems.
We had a very, very big machine learning, uh, solutions and the name of machine learning because
it was like a huge, uh, technology then changing into deep learning.
So deep learning is just machine learning with much more data, and also with the inclusion of neural
networks and GPUs.
Just a few years ago, just a few years ago, with the invention of transformers, we saw the birth
of ChatGPT and generative AI.
So ChatGPT is just an example of generative AI.
And in this bootcamp we call generative AI the new artificial Intelligence.
So.
Let's see why we say that.
We are now in the beginning of the universalization of artificial intelligence.
Before the launch of ChatGPT.
Artificial intelligence.
Artificial intelligence applications were focused mostly on solutions based mainly on data, some on
images, and we had solutions like recommendation systems, predictive analysis systems, image classification
systems, etc. so very narrow kind of solutions.
But with the launch of ChatGPT on November.
2022.
We saw the potential of the new language based artificial intelligence applications, what we call LLM
applications.
LLM stands for Large language Models applications.
We will see more about the LMS later.
So suddenly we saw that these LM applications can be used for practically all kinds of activities.
So it wasn't just for a narrow number of tasks that we were using artificial intelligence before that
moment.
Now suddenly we realized that we can use this new artificial intelligence, what we call generative
AI and the LLM applications.
We can use these new solutions everywhere.
And you will see when we say everywhere is everywhere.
So this started what we call the era of the universalization of artificial intelligence.
So artificial intelligence is going to be everywhere.
And and this is the most important take for this lesson.
L.l.m. applications are at the heart of this revolution.
And now is the main idea of this lesson.
Just as all human activities originate from thought.
LM applications have the potential to become the origin of all artificial intelligence activities.
I repeat, just as all human activities originate from thought.
LM applications have the potential to become the origin of all artificial intelligence activities.
And I'm talking about all of them, whether they are based exclusively on language solutions or if they
are multimodal AI, they are combining language plus images, videos, etc. and even hybrid solutions
like artificial intelligence plus traditional software applications, for example.
For this reason, we can say that learning to develop LM applications will put you in the most valuable
position in the artificial intelligence market.
So it is not casual that we are focusing this bootcamp on LM applications, because LM applications
are at the core of the new artificial intelligence revolution.
So in this lesson, we have been talking a little bit about the evolution of artificial intelligence
as a science.
We have been talking about the new era we are beginning right now, the era of the universalisation
of artificial intelligence, and we have seen the most important idea of the lesson that l.l.m. applications
are at the core of this revolution.
In the next lesson, we are going to talk a little bit about ChatGPT.
Is ChatGPT an LLM application?
What are the differences between ChatGPT and LLM applications?
We will see this next.