GPT-4
Product information, use cases, and access for GPT-4.
Pricing information
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What is GPT-4?
GPT-4 is a natural-language processing model in OpenAI’s GPT family, designed for tasks that involve understanding and generating text. It uses neural-network-based language modeling to interpret relationships among words and produce responses shaped by the supplied context.
People can use it for question answering, drafting, text interpretation, and other language-focused assistance. It can support conversational use as well as application and service development through an API, while the usefulness of an output depends on the prompt and the task.
Key features of GPT-4
Transformer language modeling
The model uses the Transformer architecture to process words and their relationships within a sentence, using context to determine which information matters for the task. This makes it suitable for interpreting natural-language input and producing responses connected to that context.
Large-scale pretraining
GPT-4 learns language patterns, grammar, and relationships in factual expression from large collections of text such as books, articles, and websites. This pretraining provides a general language foundation for later tasks including question answering, drafting, and text understanding.
Task adaptation and tokenization
Input text is divided into processable tokens, allowing the model to analyze how words and word parts combine across languages. After training for particular tasks, it can respond more directly to instructions such as answering questions or analyzing text.
Contextual generation and prompt control
When generating text, the model estimates likely continuations from the current context and builds a response step by step, so longer inputs remain subject to the amount of context it can process. More explicit prompts or settings can guide the output toward a requested format, content type, or style.