Full name of gpt4

The full name of GPT-4 is generative pre-training transformer 4, which is a deep learning model based on transformer and uses pre-training and fine-tuning techniques.

Pre-training refers to training a general language model on a large-scale text data set, so that it can learn the basic laws and knowledge of the language. Fine-tuning refers to adjusting the pre-trained model on a specific task so that it can adapt to different needs and scenarios.

The answer accuracy of GPT-4 is not only greatly improved, but also has a higher level of picture reading ability, which can generate lyrics and creative words and realize style changes. In addition, the text input limit of GPT-4 has been increased to 25,000 words, and the support for languages other than English has been optimized.

The technical report of GPT-4 wrote: "In view of the fierce competition environment and security considerations faced by large-scale models such as GPT-4, the report does not contain further details on architecture (including model size), hardware, data set construction, training methods and so on.

Application scenarios of GPT IV

GPT-4 has a wide range of application scenarios, covering almost all fields that need to use languages. The following are some typical application scenarios of GPT-4:

1, article generation: GPT-4 can generate a complete article according to the information given by users, such as title, keywords and abstract. No matter news, stories, comments, papers, etc. can be easily handled. The articles generated by GPT-4 are not only grammatically correct and semantically coherent, but also logically rigorous and creative, and can even imitate different styles and tones.

2. Code generation: GPT-4 can generate codes that meet the requirements according to the information given by users, such as requirements description, sample input/output, comments, etc. , can be easily handled with Python, Java, C++, etc. The code generated by GPT-4 is not only grammatically correct and functionally correct, but also readable and optimized, and can even adapt to different programming styles and specifications.