After the ChatGPT hit, Open AI was fairly quick to follow with yet another next-generation release: GPT-4.

GPT-3 was released in 2020 with 175 billion parameters and although OpenAI hasn’t declared how many parameters GPT-4 has, the model was certainly presented as a big improvement compared to its predecessors.

In this article we will explore this new technology, its implications and the fields it can be best implemented in.


  • GPT-4 is the latest version of Open AI’s popular natural language processing (NLP) model.
  • OpenAI hasn’t declared how many parameters GPT-4 has officially.
  • GPT uses an unsupervised approach to learn the underlying structure of language from raw text data.
  • One of the major advantages of GPT is that it can generate high-quality text without requiring human input or manual tuning.
  • GPT-4 can be used by researchers, developers, engineers, educators and those working with writing on a daily basis.
  • The technology can also be used by those who work in customer service.
  • If you’d like to try an AI technology that doesn’t rely on GPT models, TextCortex is the European alternative you’re looking for.

What is GPT-4?

GPT-4 stands for Generative Pre-trained Transformer 4, and it is the latest version of Open AI’s popular natural language processing (NLP) model.

gpt 4 parameter size

How was it trained?

GPT-4 was trained on a massive amount of data from the internet to learn how humans use language.

It relies on deep learning algorithms to generate text based on what it has been given as input.

The AI is able to understand context and generate relevant content that can often pass as human writing—it’s even been known to fool some people into thinking its output was written by a real person!


Any information with regards to GPT-4 parameters was not released or officially disclosed by OpenAI. Even in the official technical paper, there is no mention of the number of parameters due to competition.

Is GPT-4 better than GPT-3?

Both models use machine learning to generate text in natural language but GPT-4 is a further development that can contain more inputs and comes with an overall larger data set volume.

To compare their respective performance, it is possible to measure precision and accuracy, the ability to deal with a new language and the speed.

How to access to GPT-4?

If you’re on a free plan, in order to get started with GPT-4 you’re gonna need a ChatGPT+ subscription ($20 per month).

If you’re already on the paid plan, you can bump your account’s GPT model from GPT-3.5 to GPT-4, which will ultimately give you the chance to switch between both models.

Generative Pre-trained Transformer

Generative Pre-trained Transformer (GPT) is a powerful language model developed by OpenAI in 2018.

gpt 4 parameter count

What can it do?

GPT uses an unsupervised approach to learn the underlying structure of language from raw text data.

This means that it can produce quality results without requiring a lot of time and effort from developers. 

The prompts this model can build upon aren’t confined to text either: GPT-4 also accepts images as inputs and is able to distinguish and interpret the details presented in a visual, be it a graph, a regular picture, a photograph or a diagram.

Additionally, GPT has shown impressive results on many real-world tasks such as generating human-like responses to questions or creating poetry or stories from scratch.

Encoder and Decoder

At its core, the GPT technology consists of two parts: an encoder and a decoder.

The encoder takes the raw text as input and then passes it through several layers to create representations for each word in the sentence.

The representations are then fed into the decoder which generates new words based on these representations until it reaches the end of its sequence limit whereupon it stops generating new words and outputs its prediction for that sentence.


One of the major advantages of GPT is that it can generate high-quality text without requiring human input or manual tuning. In addition, GPT offers scalability; as more data becomes available over time, GPT can be trained on larger datasets to produce even better results. 

Another advantage of using GPT is its ability to perform complex tasks such as understanding long documents or creating summaries from lengthy texts with minimal effort.

Finally, one of the biggest advantages of GPT is its flexibility: it can be used in different ways depending on what kind of application it’s being used for. GPT can be used to generate text from scratch (such as summarizing an article), or it can be fine-tuned on a specific task (such as writing stories).

This makes GPT very versatile and allows users to tailor its use to their specific needs.

Who Can Use GPT-4?

Let’s take a look at which professional figures can make the best of the GPT-4 model.

gpt 4 how many parameters

Researchers, developers, engineers

GPT-4 can be useful to those working on natural language processing projects.

It has been made available to the public through OpenAI’s API service, which allows anyone with an account to access the technology. Developers can use GPT-4 in their own applications or integrate it into existing systems. 

Customer service

In addition to developers, GPT-4 also has potential applications for businesses and organizations looking to improve their customer service operations or provide automated help desk support.

The technology could also be used by data scientists or analysts looking to gain insights from large amounts of text data without the need for manual annotation or tagging. 


GPT-4 could also prove useful for educators looking for ways to create personalized learning experiences using natural language processing technology.

By leveraging GPT-4’s ability to understand context and generate human readable responses based on input text data, educators could create interactive learning environments that are tailored specifically towards individual learners’ needs and preferences. 

Writers, copywriters, marketers

GPT-4 is an incredibly useful tool for writers, copywriters and marketers who need help creating high quality content quickly and efficiently.

With GPT-4 all users need is an idea of what type of content their project requires – whether it be social media posts or blog articles – and then provide some guiding words or phrases that reflect their desired topic area. From there, the GPT-4 technology will do the rest: users will be able to get well written pieces of text that are ready for publishing with minimal effort on their part.

A better alternative: TextCortex AI

If you’re looking for an AI companion that doesn’t rely on the GPT-3 or GPT-4 technology, consider giving TextCortex AI a go and start automating 70% of your daily work right away!

The TextCortex chrome extension is integrated in over 1000+ platforms, comes with 60 writing templates scattered in useful categories that include (but are not limited to) email writing, academic life, e-commerce, business life and social media.

TextCortex now also comes with its very own virtual assistant: ZenoChat, the European alternative to ChatGPT. With the new recency update, Zeno can further assist you by providing replies in relation to recent information and events. 

Moreover, ZenoChat is integrated in over 2000 platforms, which means it’s available anytime, everywhere.