In this lesson we will talk about the origins of LM apps.
Artificial intelligence is a discipline older than it seems, that has exploited with ChatGPT very recently.
Machine learning is the most promising area of artificial intelligence.
It changes the way we program.
We no longer give instructions to the computer.
We show test data and results so that the computer can calculate the intermediate process and allow
us to predict outcomes with new data.
It advances towards deep learning and neural networks.
So artificial intelligence is quite old as a discipline.
And the most prominent area of artificial intelligence is machine learning.
Machine learning is a new way to interact with computers.
Instead of telling them instructions to step by step reach our result, we provide them with test data
and test results so that the computer can calculate the intermediate process and allow us to predict
outcomes with new data.
So it's a different way of programming.
Instead of telling the computer these are the steps 123, four, five.
What we are telling the computer is this is the result I am looking for.
Find out the process to get there.
Machine learning is working with different kinds of data.
And when machine learning is working with text, we call it natural language processing or NLP.
And with a millions of text data, NLP become LM large language models.
So with internet, artificial intelligence suddenly finds millions and millions of data.
This is something that makes artificial intelligence more accurate, but also it requires a better computational
power.
So with the neural networks and the GPUs, the graphic processing units, we have both the methodology
and the hardware that we need in order to process these huge amounts of data.
And from then on, instead of calling machine learning, we are going to use the terms deep learning,
meaning that we are going to use much more data than before.
So just a few years ago.
Machine learning changes dramatically with the invention of a new methodology called Transformers.
Transformers are the the the the new, the new procedures that make possible the generative AI.
We will explain this a little bit a little bit more, uh, later.
So what you need to understand is that LLM applications come from a long story of discoveries, inventions
and devices using data and computers in a different way, and that it has been very recently with the
invention of the transformers, that we have, what we call generative artificial intelligence, which
is a unique kind of creative artificial intelligence.
Until now, artificial intelligence was just descriptive.
We will see more about this later.
In the next lesson, we are going to learn a little bit more about LMS, about the size of LMS, about
the precision and about the cost.
Very important things.