GPT-3 stands for Generative Pre-trained Transformer 3 and is a language model that uses deep learning to write texts and generate content that simulates human writing . In this case, it is the third bulk sms romania of language prediction models within the GPT series designed by the San Francisco-based artificial intelligence research laboratory OpenAI , founded by Elon Musk.
This model was presented on May 28, 2020, and its capabilities are very large, since it can analyze texts, data, instructions and questions to predict words, create texts, design software programs developed in programming language, build codes, develop websites, translate languages, solve equations, problems or puzzles... It is even capable of talking about politics and economics.
Its aim is to be able to provide feedback with new learning and experiences. It was presented as an open source tool, in December it reached one million users and generated a lot of buzz, since it can even generate fake news.
GPT-3 and GPT-2, the evolution of OpenAI
GPT-3 is the largest Natural Language Processing (NLP) transformer that can replicate human argumentation and the most powerful language model designed to date.
This model has 175 billion parameters. However, the number can be increased because its programming allows it to learn continuously. This represents a great quantitative leap, since in the previous version, GPT-2 from 2019, the number of parameters was reduced to 1.5 billion. As a curiosity, at that time OpenAI itself censored this generator because it considered it could be very dangerous.
Be careful, GPT-4 is just around the corner and will be released sometime in 2023. Everything indicates that it will be 500 times more powerful than GPT-3. Will this be the moment when Google really starts to be in danger as a search engine?
How do these tools work?
This artificial intelligence works through the machine learning model, offering word predictions based on previously used terms . The model has had access to almost all the information published on the Internet, and has also been supplied with millions of publications, books, documents and scientific texts on all types of content.
GPT-3 uses a neural network based on a deep learning model and generates new content through algorithms. In this way, it learns from the examples it receives based on the interaction carried out by the user , thus also feeding itself with data.
Although GPT-3 is able to predict the words that should continue a text due to all the parameters it has been given, this model does not have abstract reasoning, so it does not understand contexts and its results may not make sense and it may not know what the things it predicts mean. If it is asked incoherent questions, the intelligence will respond based on its ability to give answers, but they will not make rational sense.
