Artificial Intelligence

Why GPT-4 is the Next Big Thing in AI and Natural Language Processing

OpenAI published GPT-4, the newest and most advanced language model, on March 14, 2023. This big multimodal fourth-generation transformer model can receive picture and text inputs and produce text outputs.

It was pre-trained to anticipate the next token, and after receiving input from humans and AI systems, it was adjusted for human alignment and policy compliance via reinforcement learning.

A restricted version of the concept is now accessible to the general public through ChatGPT Plus, a GPT-3.5-based platform.

Microsoft claims that GPT-4 was being used in earlier iterations of Bing that used GPT. With more general knowledge and problem-solving skills than its predecessors, GPT-4 is better able to accurately tackle complex issues.

GPT-4 performs on par with humans on many professional and academic criteria, despite being poorer than humans in many real-world settings.

Although GPT-4 advances language modeling, it is not as revolutionary as GPT-3 was when it originally debuted in 2020.

What is GPT-4?

The next large-scale multimodal model GPT-4 is anticipated to completely alter the area of natural language processing.

There are countless options because it can take both image and text inputs and generate text outputs.

GPT-4 is a potent language model that will wow you with its ability to summarize large papers, respond to difficult questions, and more.

In many situations in real life, it is still less competent than humans, despite the fact that it may perform at a level that is comparable to humans in other scenarios.

How does GPT-4 Works?

The transformer architecture-based GPT-4 was trained using a sizable corpus of text data. The model is taught via unsupervised learning, in which case it doesn’t get explicit instructions but instead picks up knowledge by seeing patterns in the data that serve as its training set.

GPT-4 is a valuable tool for natural language processing since it is made to produce logical and
pertinent replies to incoming text.

How to Access GPT-4?

Using ChatGPT, a free-to-use AI language model, GPT-4 is accessible. Nevertheless, you need to have a ChatGPT Plus membership, which costs $20 per month, in order to utilize all of the capabilities of GPT-4.

With this membership, you get access to ChatGPT’s most recent version and may test out GPT-4.

There are a few possibilities if you want to test GPT-4 without spending any money. is a website
created by Quora where you may test out all the bots, including GPT-4.

Moreover, some Reddit users claim that allowed them to test out GPT-4 for free, however, it’s unclear if this is still feasible.

Availability of GPT-4

Via ChatGPT Plus, GPT-4 has been made publically accessible in a constrained manner. OpenAI’s ChatGPT Plus is a GPT-3.5-based solution that has recently added GPT-4 features.

How Much Does GPT-4 Cost?

The new price plans for GPT-4, which are established for every 1,000 tokens, have been made available by OpenAI. In other words, you will be charged a particular sum for every 750 words the model generates.

Using GPT-4 now costs less than using GPT-3.5 turbo did previously, which was about $0.002 per 1,000 tokens. The GPT-4 price plans have been revised as follows:

  • Prompt tokens cost $0.03/1k
  • Sampled tokens cost $0.06/1k

How to Try GPT-4 for Free?

There are a few possibilities if you want to test GPT-4 without having to spend cash., which was created by Quora, is a website where you can test out all the bots, including GPT-4, as was previously reported.

Even though ChatGPT-4 is available for free trial use, not all of its functionality will be available.

Using the $5 credit that is offered for free during your first three months of utilizing ChatGPT Plus is another way to test out GPT-4 for free.

You may explore GPT-4 with this credit and only pay for the resources you really utilize. This choice enables you to keep things straightforward and adaptable, giving it an excellent approach to testing out GPT-4.

What can GPT-4 do?

GPT-4’s capacity to answer challenging issues more accurately than ever before is one of its most outstanding features, as a result of its more extensive general knowledge and problem-solving skills.

It has been shown that GPT-4 can accept a prompt that combines both words and images, letting
the user select any language or vision task.

In further detail, it produces text outputs (natural language, code, etc.) from inputs that contain a mixture of text and pictures.

Moreover, GPT-4 is more inventive and team-oriented than before. It can produce, edit, and collaborate with users on technical and creative writing tasks including songwriting, screenwriting, or understanding a user’s writing style to help them write more successfully.

The handling of not just words but also images in what is being referred to as “multimodal” technology
is one of ChatGPT-4’s most stunning new capabilities.

GPT-4 in Action

One of GPT-4’s more interesting uses is in ChatGPT, a computer interface that users may utilize to converse and produce natural language writing.

The model is a fantastic tool for customer service and other applications that call for natural language processing since it can produce original and precise answers to user inquiries.

Video can be created from text using GPT-4. Google and Meta AIs already have this functionality, and Microsoft has said that GPT-4 will include it as well.

Applications of GPT-4

GPT-4’s advanced capabilities
have a wide range of potential applications, from language translation and content creation to video production and gaming.

ChatGPT enables users to communicate with GPT-4 and receive replies that resemble those of humans, which has already been made available by OpenAI.

GPT-4 has a lot of promise in the educational sector when used in a learning environment like Khan Academy.

With the capacity to respond to questioning, and open-ended inquiries, GPT-4 may prove to be an invaluable tool for both students and teachers.

How to use GPT-4 in Bing?

Selecting one of the instructions on the main Bing Chat page will allow you to use GPT-4 once you have access to Bing Chat.

This will launch the search page and produce text using GPT-4, but you won’t be able to continue chatting with it right away. If you signed up for the waitlist, this is likely to change in the next few days.

It’s important to keep in mind that GPT-4 on Bing Chat is presently restricted to search support, and users may still require an OpenAI ChatGPT Plus account to use the latest AI upgrade‘s multimodal capabilities.

Yet, Bing Chat is more interactive than other search engines since it can respond in several ways, including text and images.

GPT-4 vs. GPT-3.5

GPT-4 significantly outperforms GPT-3.5 in terms of performance.

According to OpenAI, GPT-4 is bigger, has more parameters, and performs better on numerous benchmarks because of its increased accuracy.

Moreover, GPT-4 is a more adaptable tool than GPT-3.5 due to its capacity for processing visual input and its outputs’ higher levels of expressiveness and creativity.


Limitations and Risks of GPT-4

While being a significant advancement in language modeling, GPT-4 still has drawbacks and potential hazards.

The model is limited to producing text based on input data, and it performs worse than humans in many real-world settings.

The usage of big language models has several dangers, such as the possibility of bias and the capacity to
provide false information.

By careful model design, thorough testing, ongoing monitoring, and improvement, these hazards can be reduced.


In conclusion, GPT-4 is a sophisticated language model that has been honed using a wide range of multimodal data.

It can produce language that sounds like human speech, solve complicated problems more accurately, and do very well on tasks that call for more creativity, sophisticated instruction interpretation, and advanced reasoning.

It can handle both texts as well as images, and it is more collaborative and creative than before. GPT-4 is still not completely dependable, hence extreme caution should be used when trusting its outputs, especially in high-stakes circumstances.

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