In this lesson, we are going to talk about use cases for LM applications in different professions.
So let's talk about how Elm applications are changing.
Uh, some professions already.
I told you about the software developer profession, but we can talk of other ones, like, for example,
the data analyst profession.
This was a.
A profession for people with a lot of mathematics and statistics in their background, you know, and,
uh, they were spending thousands and thousands of hours, you know, analyzing and making calculations
and all that.
And since a few months ago, their job has changed totally.
For example, l.l.m. applications can be used to scan large amount amounts of data very quickly and
to identify trends and patterns you can use.
And they are using LLM applications to identify customer segments for demand prediction, for fraud
detection, for example.
And even in a financial analysis, for example, they are using LLM applications to identify trends
in the stock market.
And for every kind of data analysis task for hypothesis generation, LLM applications can help data
scientists to generate hypotheses about data.
This can be done by providing the LLM application with a sample of the data set, and asking for possible
explanations of observed trends and patterns.
For example, a business analyst can use an LMS application to generate hypotheses about the impact
of a new policy on a specific economic sector.
So the data analysis profession has totally changed with the use of LM applications.
These professionals can today do much more work than one year ago.
Much more precise and a.
Of better quality.
With the help of Elm applications.
If we talk about a.
Content generation a they.
Number of uses of RLM applications in content generation is also huge.
You can use LM applications to generate narratives that explain data in a very concise and clear way.
If you are a data scientist or a content generator that needs to explain data, you can use LM applications
for communicating data insight to a non-technical audience to create content for social media, whatever.
If you want to create charts, graphics, maps from data, LLM applications can help you to create visualizations
that can help explain data.
If you want to create presentations, create blog posts, create content in different formats, formats,
applications can can help you to to to do all these tasks.
So we are living in a world where.
The early adopters of LM applications are getting ahead in their professions.
So it is very interesting for you to make other professionals see everything they can do.
With the help of the LM application you can build for them.
Okay.
So it's very important for you to understand that also in different professions.
LM applications are having a huge impact.
In the next lesson, we are going to see the results of a survey that was made at the end of 2023,
which was the first year of applications asking engineers all over the world about the most frequent
use cases of LM applications in their companies.
This is a the size of this group was not huge, but still it was a very interesting survey.