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In this lesson, we are going to talk about use cases for LM applications in different professions.

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So let's talk about how Elm applications are changing.

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Uh, some professions already.

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I told you about the software developer profession, but we can talk of other ones, like, for example,

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the data analyst profession.

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This was a.

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A profession for people with a lot of mathematics and statistics in their background, you know, and,

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uh, they were spending thousands and thousands of hours, you know, analyzing and making calculations

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and all that.

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And since a few months ago, their job has changed totally.

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For example, l.l.m. applications can be used to scan large amount amounts of data very quickly and

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to identify trends and patterns you can use.

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And they are using LLM applications to identify customer segments for demand prediction, for fraud

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detection, for example.

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And even in a financial analysis, for example, they are using LLM applications to identify trends

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in the stock market.

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And for every kind of data analysis task for hypothesis generation, LLM applications can help data

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scientists to generate hypotheses about data.

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This can be done by providing the LLM application with a sample of the data set, and asking for possible

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explanations of observed trends and patterns.

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For example, a business analyst can use an LMS application to generate hypotheses about the impact

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of a new policy on a specific economic sector.

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So the data analysis profession has totally changed with the use of LM applications.

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These professionals can today do much more work than one year ago.

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Much more precise and a.

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Of better quality.

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With the help of Elm applications.

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If we talk about a.

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Content generation a they.

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Number of uses of RLM applications in content generation is also huge.

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You can use LM applications to generate narratives that explain data in a very concise and clear way.

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If you are a data scientist or a content generator that needs to explain data, you can use LM applications

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for communicating data insight to a non-technical audience to create content for social media, whatever.

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If you want to create charts, graphics, maps from data, LLM applications can help you to create visualizations

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that can help explain data.

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If you want to create presentations, create blog posts, create content in different formats, formats,

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applications can can help you to to to do all these tasks.

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So we are living in a world where.

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The early adopters of LM applications are getting ahead in their professions.

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So it is very interesting for you to make other professionals see everything they can do.

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With the help of the LM application you can build for them.

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Okay.

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So it's very important for you to understand that also in different professions.

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LM applications are having a huge impact.

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In the next lesson, we are going to see the results of a survey that was made at the end of 2023,

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which was the first year of applications asking engineers all over the world about the most frequent

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use cases of LM applications in their companies.

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This is a the size of this group was not huge, but still it was a very interesting survey.