We’ve been using ChatGPT for several years now and we can all agree it’s a very handy tool! However, what exactly does the acronym GPT mean? To deepen our understanding of artificial intelligence, it’s essential to clarify this now-common expression.
Let’s dive into its definition, history, and how it works to better understand this technology that has changed our lives over the last few years.
Definition of GPT
GPT stands for “Generative Pre-trained Transformer”. Its main goal is to generate text similar to what a human might produce.
Let’s break down this acronym to fully grasp its definition:
- Generative: This refers to the model’s ability to generate text autonomously. Unlike other models that are limited to classifying or analyzing data, GPT can produce sentences, paragraphs, and even full articles based on a simple request.
- Pre-trained: Before being used for specific tasks, GPT is pre-trained on a vast corpus of text from the internet. This pre-training allows it to learn linguistic structures, vocabulary, and word contexts. Once this process is complete, it can be fine-tuned for specific applications. This is where developers come in, identifying errors and making corrections as needed.
- Transformer: This is the underlying architecture of the model. Introduced by the research paper “Attention is All You Need” in 2017 by Google researchers, this architecture revolutionized the field of natural language processing. It uses attention mechanisms that allow for the efficient processing of large amounts of text. This model also led to the emergence of large language models such as BERT, launched in October 2018, which is a pre-trained but non-generative transformer. For the record, this model was “Frenchified” with names like “camenBERT” or “FlauBERT” (no joke, we have ideas in France!)

The history of the GPT model
The development of GPT was initiated by OpenAI, the famous (currently) non-profit organization co-founded by Elon Musk and Sam Altman. This technology has gone through significant and very rapid stages. In just a few years, the model has evolved considerably. Here is an overview of the key stages of its evolution:
- GPT (launched in 2018): The first version of GPT (GPT-1) marked a turning point in natural language processing by showing that a pre-trained model could be adapted to various tasks, such as translation or text generation.
- GPT-2 (launched in 2019): The sequel, GPT-2, was released the following year. With 1.5 billion parameters, this model raised concerns about the misuse of the technology, as it could generate very convincing text. OpenAI initially hesitated to release it in full but eventually made the model available for research, and finally to everyone.
- GPT-3: The most famous version, GPT-3, was introduced in 2020. Then GPT-3.5, an improved version launched in 2022, is clearly the version that democratized ChatGPT as we know it today. This AI demonstrated impressive capabilities in various fields, ranging from writing stories to answering complex questions. Although there were some errors and AI ‘hallucinations’ in its early days (as seen with Lucie IA), the results amazed the entire tech community.
- Later versions: Following GPT-3.5, improvements continue to be made to the model, with versions aimed at refining interaction and reducing bias. We now have ChatGPT 4o and OpenAI o1.
What are the applications of GPT?
The applications of GPT are vast and varied. And you know this well because on Yiaho, we now use artificial intelligence for hundreds of different tasks. Here are a few examples:
- Content generation: Many content creators use GPT to generate articles, blogs, scripts, and much more. On Yiaho, you can use ChatGPT for free for many general purposes.
- Virtual assistance: GPT-powered chatbots can answer user questions in a fluid and natural way, offering improved customer service. This is often used by marketplaces or government administrative services.
- Machine translation: Although not its primary function, GPT can be used to translate text from one language to another very quickly, even instantly.
- Education and tutoring: GPT-based learning tools can help students understand complex concepts by providing explanations and examples. At Yiaho, we have implemented many AIs for students, from writing to mathematics.
GPT: The technology that will revolutionize our century?
GPT is much more than just an acronym; it’s a revolutionary technology that is transforming how we interact with language. From its roots as a research model to its adoption across various sectors, GPT continues to demonstrate its potential. This technology is at the heart of the AI that will clearly disrupt our lives.
With its text generation capabilities and technologically innovative architecture, GPT represents a major advance in the field of artificial intelligence and tech. Whether you’re a developer, a content creator, or just curious about technology, understanding GPT is essential, and using it will soon become vital!


