What is GPT-4?
GPT-4 is an advanced language model that uses the technology of Natural Language Processing (NLP) models and is used by the company OpenAI was developed. GPT stands for "Generative Pre-trained Transformer" and represents the fourth generation of OpenAI language models is the new GPT-3.5. As with its predecessor GPT-3.5, text entries can be made via ChatGPT can be processed. In addition, an interface via a API (Application Programming Interface) be set up.
Performance and skills
The scope of services of the language model mainly refers to the Processing and output of user requests in the form of human speech. To accomplish this function, GPT-4 was equipped with Training data and then optimised by human feedback. Based on this training model, GPT-4 should be able to output human-like texts and solve complex problems based on the user's input. Tests have shown that GPT-4 is able to pass university entrance exams and other tests.
The training data is currently based on a status of September 2021, which is why events and findings that occur after this date are sometimes not known or output by the model. Like its predecessors, GPT-4 faces reliability limitations. According to a company statement, it is still possible that GPT-4 "hallucinates" facts, i.e. outputs false statements, although the factuality results are slightly better than under GPT-3.5 due to special post-training.
Training data and training of the model
The training data of the language model were taken from both publicly available data such as internet data as well as by the company licensed data created. Thus, the training data contains both correct and incorrect answers, strong and weak arguments, and contradictory as well as consistent statements. Furthermore, a wide variety of ideologies and ideas are included in the data. To optimise the output quality, the behaviour of the model was optimised using Reinforcement Learning from Human Feedback (RLHF). In this process, the training data is made available, through Supervised learning learnt and then passed on through reinforcement learning (reinforcement learning) improved by means of reward models.
Differences between GPT-4 and GPT-3
According to statements on the part of OpenAI, innovations compared to GPT-3 or GPT-3.5 will not be apparent in the output during a simple conversation, but only when a certain threshold in the complexity of the task is exceeded. Accordingly, GPT-4 should be able to, Respond more reliably and creatively and process instructions in a more nuanced way. The new version also shows a Improvement in the output quality of different languagesincluding so-called low-resource languages.
Developments are also evident in the area of tractability of the language model, with GPT-4 being able to adjust the style and verbosity as well as the tone of the output within certain limits. In addition, according to the company, it should be more difficult to detect "bad behaviour" by the Model and thus create so-called jailbreaks by generating content that violates the company's usage content. GPT-4 is known as multimodal language model seen and is able to accept and process both image and text input and report back text output.
GPT-4 Application examples
The use cases of GPT-4 are very versatile and can be applied across industries. For example, the language model can be used in the field of Customer service to take over the communication with customer enquiries there in the form of a chatbot. Due to the variability of the tonality of the output, the conversation can be adapted to a certain extent. Another use case is in the entertainment industry. GPT-4 can be used to create scripts, texts or poems, for example. Application tests have shown that GPT-4 can also understand humour, which increases the possibilities for use in the entertainment industry. Entertainment industry expanded again.
Like its predecessors, GPT-4 is also capable of programming. Due to the language model's image input capability, web pages can now be created and programmed using imported sketches. The possibility of image input also opens up, for example, use cases in the Area of medicineby identifying, categorising and displaying abnormalities in imaging examination procedures. Due to the multimodal structure and variable application areas of GPT-4, there is potential for the application and linking of the language model across several sectors.
How can I use GPT-4?
GPT-4 is to be available via a paid licence version as part of the ChatGPT Plus subscription model at chat.openai.com be available with a usage cap. The company states that this usage cap will be based on demand and system performance in practice and will be variable. In addition, new subscription levels could be introduced or a certain number of free GPT-4 queries could be available for test purposes. Another access option is via a API interfacewhich can be used to implement the functionality of GPT-4 on external applications.