ChatGPT

(7 minutes of reading) Artificial intelligence is changing the world and ChatGPT came to prove it to us. In today's text we will talk more about the subject of the moment. Come read to find out more!

ChatGPT

(7 minutes of reading)


Who hasn't heard of these 3 letters in recent months: GPT? This is certainly one of the most searched and commented subjects in recent times, regardless of your area of expertise.

Now what is ChatGPT? The acronym GPT stands for Generative Pre-Trained Transformer. ChatGPT is an AI powered intelligent virtual assistant based on deep learning, in an online chatbot format. It was developed by OpenAI and officially released in November 2022, but it has existed since 2019.

Chatbot is a computer program that simulates a human being in conversation with people. The purpose of a chatbot is to answer questions in a way that people have the impression of talking to another person and not to a computer program. After submitting questions in natural language, the program queries a knowledge base and then provides an answer that tries to imitate the human behavior.

ChatGPT uses an algorithm based in neural networks that allows to establish a conversation with the user by processing a huge volume of data. It leans in thousands of human language examples, enabling technology to understand in depth the context of user requests and can respond to questions very precisely.

We found in ChatGPT a more dynamic and flexible technology than any other chatbot, which is why GPT can develop much more complex conversations and respond to an infinite number of number of questions.


HOW DOES CHATGPT WORK?

By accessing the OpenAI website you start an online conversation. ChatGPT gathers text data available on the internet.

It works from an updated knowledge base that allows it to decode words and offer textual answers to users. The biggest difference between it and Google is that ChatGPT does not retrieve information but creates phrases and complete texts in real time.

ChatGPT is updated and fed with new information all the time. The model works collaboratively, as the users can correct the information provided by the tool.

Through a APIs, ChatGPT can also be integrated with other tools, such as: Word, Bing, Chatbots and WhatsApp Business


FACTS ABOUT CHATGPT

There are several interesting and curious facts about ChatGPT:

1- It was trained on a huge set of text data, which included everything from books, articles, news and even posts on social media and internet forums. This allowed the model to develop a rich understanding of natural language.

2- It is a generative model, that is, it can generate a new text with style and tone like the input text. This makes it an ideal tool for tasks like text completion, where you can predict the next word in a sentence based on the context and meaning of the previous words.

3- It can produces text very similar to that written by human beings. This generated concerns about possible misuse of the model, such as to generate fake news or impersonating individuals online.

4- OpenAI launched several versions of the ChatGPT model, including the GPT-2 and GPT-3 models, widely used by developers and researchers for a variety of natural language processing tasks. 

5- It can be used for a variety of applications including chatbots, content generation, language translation, and even art and music generation.

6- GPT-3 is one of the biggest language models already developed with more than 175 billion parameters.

7- Can produce a wide variety of textual styles and genres, including poetry, jokes, and even political speeches.

ChatGPT revolutionized the field of natural language processing and opened news possibilities for communication and human x machine interaction.


CODE

ChatGPT is a natural language processing model based on the GPT architecture. GPT architecture, as said earlier, stands for generative pre-trained transformer, and it is a kind of deep learning model that uses a transformer-based neural network to generate natural language text.

The ChatGPT model is trained into a large set of text data, which allows to generate coherent and relevant answers to a wide range of natural language inputs. The model uses a combination of unsupervised pre-training and fine-tuning on task-specific data to achieve peak performance on a variety of language tasks, including text generation, summarizing, and answering a wide range of questions.

The ChatGPT code is owned by OpenAI. However, OpenAI launched several models pre-trained that can be used for various natural language processing tasks. In addition, OpenAI offers API services that allow developers to integrate ChatGPT model features into their own applications. The APIs can be accessed using a variety of programming languages, including Python, Java and Ruby, among others.

A transformer architecture consists in an encoder and a decoder, which work together to generate texts in natural language. The encoder receives one sequence of tokens (usually words or subwords) and generates one String representation that captures the context and meaning of the text. The decoder uses this representation to generate a new text, either predicting the next word in one sentence or generating one sentence or complete paragraphs.

The code for pre-trained models provided by OpenAI is written in Python and uses PyTorch deep learning framework. Developers can use the models by importing the pre-trained model code and providing input text. The model can generate output text based on the input text and the context of the pre-trained model.


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