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How does ChatGPT work?

ChatGPT runs on a language model architecture created by OpenAI called the Generative Pre-trained Transformer (GPT). The specific GPT used by ChatGPT is fine-tuned from a model in the GPT-3.5 series, according to OpenAI.

However, with a subscription to ChatGPT Plus, you can access ChatGPT with GPT-4, Open AI’s most advanced model.

Generative AI models of this type are trained on vast amounts of information from the internet, including websites, books, news articles, and more.

The language model was fine-tuned using supervised learning as well as reinforcement learning. The use of Reinforcement Learning from Human Feedback (RLHF) is what makes ChatGPT especially unique. Through RLHF, human AI trainers provided the model with conversations in which they played both parts, the user and AI assistants, according to OpenAI.

What Is ChatGPT?

ChatGPT is an AI computer program that uses its intelligence to intake, comprehend and produce a response that mimics the natural diction of human language.

The program uses a transformer-based neural network that works off of so much data that the AI can analyze that information and create a response from it. When a human user converses with ChatGPT, the AI processes the human text and generates the answer based on the data it has access to.

The technology also considers context, syntax, and word associations, which is how it can produce responses that mimic human speech and writing.

ChatGPT can also:

Whether it’s questions, answers, essays, or entire conversations, this technology is meant to carry on as a human would.

Answer follow-up questions.
Admit mistakes.
Challenge incorrect premises.
Reject inappropriate requests.

Because of its human-like capabilities, ChatGPT has countless uses.

What is ChatGPT used for?

The main feature of ChatGPT is generating responses like those humans would provide, in a text box. Therefore, it is suitable for chatbots, AI system conversations, and virtual assistants.

However, it can also give natural answers to questions in a conversational tone and can generate stories poems, and more. Moreover, it can:

Write code
Write an article or blog post
Translate
Debug
Write a story/poem
Recommend chords and lyrics

To make the AI carry out one of these demands, all you need to do is type the command into the chatbot.

OpenAI has released a ChatGPT plugin feature set to enhance the chatbot’s initial capabilities. ChatGPT will be bigger and better than ever, with the ability to draw on the knowledge and features of many third-party applications.

The initial set of plugins has already been launched, featuring popular platforms such as Expedia, Klarna, Slack, Wolfram, OpenTable, Shopify, and others.

Essentially, this new update will mean that ChatGPT can bring in tools from these platforms. For example, plot graphs using Wolfram or send you restaurant reservations from OpenTable.

Who Built ChatGPT?

ChatGPT was created by San Francisco-based artificial intelligence company OpenAI. OpenAI Inc. is the non-profit parent company of the for-profit OpenAI LP.

OpenAI is famous for its well-known DALL·E, a deep-learning model that generates images from text instructions called prompts.

The CEO is Sam Altman, who previously was president of Y Combinator.

Microsoft is a partner and investor in the amount of $1 billion dollars. They jointly developed the Azure AI Platform.

How does ChatGPT work?

ChatGPT is a large language model developed by OpenAI based on the GPT-3.5 architecture. It was trained on a massive amount of text data from the internet using unsupervised learning, which means it learned patterns and relationships within the data without any explicit guidance or supervision from humans.

Here’s how it works:

Preprocessing: The first step in training ChatGPT is to preprocess the raw text data. This involves tokenizing the text into individual words or subwords and converting them into numerical representations that the model can work with.
Training: ChatGPT is then trained on a massive amount of text data using a language modeling objective. The objective is to predict the next word in a sequence given the previous words. For example, given the sentence “The cat sat on the ____”, the model would predict that the next word is “mat”.
Fine-tuning: After training on a large corpus of data, ChatGPT can be fine-tuned on specific tasks such as question answering, text completion, or summarization. This involves further training on a smaller dataset that is specific to the task.
Inference: Once ChatGPT has been trained, it can be used for inference. Inference involves giving the model a prompt or a question and letting it generate a response. ChatGPT uses a process called autoregression to generate responses, which means it generates one word at a time based on the previous words it has generated.
Output: Finally, the output from ChatGPT is post-processed and presented to the user. This may involve formatting the response, correcting any errors, or applying any additional logic.