Large Language Model: O que é, seus objetivos e 9 aplicações no mundo real

Large Language Model: What it is, its goals and 9 real-world applications

Written by LogAp

If you’re keeping an eye on the latest technology trends, you’ve probably heard about the “Large Language Models” (LLM), right? Even if the name is unfamiliar, you’ve probably heard of GPT-3 or ChatGPT, correct?

These innovations are changing the way we do business, serve customers, and even how we communicate. Very quickly and overwhelmingly, and in various professional areas, they are causing a huge noise in the market.

Therefore, here we will explain what the Large Language Model is, why it is so important and how it can be applied in everyday business. Even if your company is resistant to the topic, keep reading in order to understand how this technology can be of help.

What is a Large Language Model?

A Large Language Model is an artificial intelligence model trained on a large amount of text. In practice, they learn to “predict” the next word in a sentence based on the previous words, allowing them to generate coherent text.

This allows for a textual result that may appear to be written by a human in the case of texts. Thus, the interaction between humans and technology becomes — frighteningly — real and life-like.

With this in mind, the application of the LLM allows for the creation of chatbots, poetry or, even, the complete writing of a book. In reality, everything involving text can be impacted by the use of LLM.

What is the purpose of a Large Language Model?

The main purpose of a Large Language Model is to understand and generate text in a convincing way. This skill allows it to be applied in a variety of tasks that involve comprehension and textual production.

The application potential of a Large Language Model is immense. Here are some practical examples of how these templates can be used:

1. Customer Service

Companies are using Large Language Models in order to improve their customer service operations. A chatbot powered this way can answer customer questions quickly and accurately.

Read also: 6 practical applications of ChatGPT in software development

2. Search engines

LLMs can improve the quality of search results by providing the user with more relevant and accurate information.

Search engines like Google and Bing are already testing LLMs in order to offer better results to users. And this is made possible by understanding the user’s search intent and using that information in order to provide the most relevant and direct results.

3. Assisted Writing

Writers, journalists, and other content professionals are using Large Language Models in order to generate ideas and even produce draft articles. The ability of these templates to produce high-quality text can increase productivity and creativity.

An example is the case of the Daily Mirror, which is testing ChatGPT  in order to write its news articles faster and with higher quality.

4. Research and Development

In the field of research and development, a Large Language Model can be used in order to generate new ideas, make predictions based on existing data patterns, and help analyze large volumes of text.

Some websites teach how to use the tool in the academic field. However, it is important to take great care when doing this and be aware of what the legal and ethical repercussions might be, and a reminder to exercise good judgment in this sense is always warranted.

5. Health

In healthcare, an LLM can aid in diagnosis by analyzing the symptoms reported by patients and comparing them with the vast medical knowledge available in texts. In addition, they can aid in medical research by helping to synthesize the enormous amount of scientific literature available.

Google has been advancing in this area with Med-PaLM2 (still in its testing phases), whose goal is to answer medical questions with speed and quality.

6. Law

Another area with a lot of potential for LLM use is the legal field. In it, the Large Language Model can assist a lawyer, for example, in research, either by identifying relevant cases in jurisdiction or interpreting complex laws.

LLMs can also help lawyers draft contracts and other legal documents with great ease. You can even use the correct jargon fairly easily, as a lawyer would in his day to day.

7. Marketing and Advertising

Having creative ideas is no longer a big challenge these days. Here, an LLM can also be used in order to create texts for websites, social media posts and blog content without great difficulty.

Even if you do not create the final text, a tool like ChatGPT can list hundreds of ideas with a single command, and thus enhance the work of marketers and advertisers.

8. Finance

Another very interesting case is in the financial sector, where Large Language Models can be used in order to analyze market reports, predict trends and help in making investment decisions.

In fact, anywhere or any situation in which there is a text to be analyzed, the tools that use an LLM can be deployed with great quality results.

9. Human Resources

Finally, an LLM can assist in filtering and analyzing resumes, helping to identify the most qualified candidates for a vacancy, according to the pre-established analysis criteria.

Although it is an initial filter, the amount of time a professional can gain when dealing with applications may be worth taking a chance on this disruptive technology.

Therefore, as we have seen, the application of a Large Language Model is a powerful tool that is changing the way companies operate and interact with their customers.

By leveraging this technology, professionals can drive operational efficiency, improve customer service, analyze data, and foster innovation in their organizations.

Do you like the content? So, also take the chance to read: Datafication: what it is, its importance and how to start applying it in your company

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