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For the past few years, artificial intelligence (AI) has revolutionized our daily lives. Among its most notable innovations are: GPTs (Generative Pre-trained Transformers) developed by OpenAI. But how do they really work? And how do professionals use them on a daily basis? Let's explore this together.
What's a ChatGPT GPT?
A GPT, developed by OpenAI, is an advanced form Of artificial intelligence. The first model, GPT-1, appeared in 2018, followed by improved versions like GPT-2 in 2019 and GPT-3 in 2020. The most recent version, GPT-4o, is even more efficient.
GPT, or "Generative Pre-Trained Transformer", is what we call a Large Language Model (LLM). Basically, it's like an advanced version of the function of predictive text that we use every day in our email applications and search engines. You know, that little push that offers the rest of the words when you type a message? Well, imagine that on a much larger scale. And ChatGPT is a particularly popular incarnation of this technology.
Operation of GPTs
GPTs use a deep learning model called Transform. They are trained on huge amounts of texts, such as books and articles, to understand how words and The sentences come together. This allows them to generate consistent and relevant text from any starting point.
1. Learning from large amounts of text
Imagine one ocean filled with words and phrases. The GPTs dive into this ocean to learn the subtleties of human language. They read millions of books and articles to understand grammar and the meaning of words. They analyze how sentences are built and how paragraphs are articulated to create logical texts.
In absorbing this mass of information, the model learns to recognize the patterns and structures of language.
For example, he learns that in a French sentence, the verb usually comes after the subject and that the adjectives often place themselves after the names.
This learning process is called "pre-training". During this phase, the model only reads and analyzes texts without focusing on a specific task. He developed a general understanding of language, which made him able to manage various natural language processing tasks (NLP) later on.
2. Prediction of the next word
One of the most impressive capabilities of GPTs is their ability to predict the next word in a sentence. For example, if you write “The cat is on the…”, a GPT might suggest words such as “roof” or “sofa”. It uses its knowledge of words and sentences to make suggestions that fit the context.
This capacity is possible thanks to the Transformer architecture. Transformers allow templates to take into account the overall context of the sentence rather than limit themselves to a few words window. This means that a GPT can understand the general meaning of the sentence and use that understanding to predict the following word more accurately.
For each word to be predicted, the model evaluates the probabilities of all possible words in its vocabulary and chooses the one that has the greatest probability of being appropriate in the given context. It's a little bit. as if the model were playing an extremely sophisticated game of guesses, using all the knowledge he has accumulated to make the best possible assumptions.
The result is a fluid and coherent text, as if a human had written it. This predictive capability opens up a wide range of possibilities, ranging from automatic text generation to linguistic translation.
3. Translation and content creation
GPTs do more than simply understand and generate text. They are also able to translate from one language to another, and this with remarkable precision. For translation, the TWGs analyze the source text to understand its meaning and grammatical structure and then reformulate it in the target language taking into account cultural nuances and idiomatic expressions.
For example, to translate a sentence as "It's draining cats and dogs," the model must understand that this expression means "It rains strings" in French And not translate it literally.
But the GPT's talents don't stop there. They can also generate different types of creative content, such as poems, scripts, musical pieces, emails, letters, etc. Simply provide them with a clear instruction and the model will do its best to meet your requirements.
Examples of GPTs and Use
Did you know that you can create your own GPT to meet your specific needs On ChatGPT?
1. Human resources
In human resources, GPTs can transform the way companies recruit, train and and manage their staff.
For example, a specialized GPT can automate complex and sensitive tasks, such as the management of workplace accidents.
A GPT specializing in Human Resources and Labour Law, such as that of "My Digital RH," can be used to assist in the management of work accidents and journeys.
This GPT, designed for companies in France in 2024, offers advice and answers to common questions on the procedures to be followed in the event of an accident at work.
2. Marketing and Communication
In marketing and communication, GPTs offer infinite potential to create compelling and engaging content. They can help to write newsletters, blog articles, advertising scripts and even social media messages. Of course, it is important to check and refine the content so that it is consistent with your brand.
Take this example of SEO GPT to optimize texts for natural SEO. You give your keywords and the GPT can write an article from A to Z, optimize an existing text or create a netlinking article.
This allows you to quickly produce high quality SEO content and improve the visibility of your website on search engines.
3. Commercial
In the area of sales, GPTs can really simplify the work of commercial teams by automating repetitive and time-consuming tasks.
For example, a GPT such as "Sals Assistant" is designed to help salespeople in several ways such as: writing e-mails tailored to each prospect, creating detailed plans to effectively target potential customers, helping to prepare solid arguments to convince customers or simulate maintenance scenarios for help the salespeople prepare.
Conclusion
GPTs improve the efficiency of recruitment processes, enrich marketing strategies and optimize sales. However, it is important to remain vigilant about their limitations and ethical challenges. The human supervision remains essential to ensure the quality and consistency of the content generated.
Do you want to create custom GPT's for your business?
Discover our training that will teach you how to do it here: https://www.elorezo.com/formation-automatisation-gpt-elorezo