GPT-4: The Future of Artificial Intelligence?

The Power of Advanced Algorithms

Artificial intelligence (AI) has been making leaps and bounds in recent years, with advancements in machine learning and natural language processing (NLP) allowing for more complex and nuanced interactions between machines and humans. One of the most promising developments in this field is the upcoming release of GPT-4, the latest version of OpenAI‘s language model. In this article, we’ll explore what GPT-4 is, how it differs from its predecessors, and what we can expect from this new technology.

The Chat GPT-4 software was released on March 14, 2023, and it is presently the most recent version of the programme. In light of the recent launch of Chat GPT-4, we felt it was important to investigate the ways in which it is distinct from Chat GPT-3 and determine whether or not it features any significant advancements over its forerunner. Continue reading to gain an understanding of four of the most significant distinctions between Chat GPT-4 and Chat GPT-3.

What is GPT-4?

GPT-4 stands for “Generative Pre-trained Transformer 4,” which is a mouthful, but it essentially refers to a type of AI model that is pre-trained on vast amounts of data and then fine-tuned to perform specific tasks. GPT-4 is the fourth iteration of OpenAI’s GPT series, and it promises to be even more powerful than its predecessors.

It is much simpler to deceive Chat GPT-3.

While Chat GPT-4 is the most recent release of the programme, the developers have had additional time to work on the algorithms, making it more difficult for users to deceive the artificial intelligence.

Chat GPT-4 has been taught to respond appropriately to a wide variety of stimuli, the majority of which are malevolent. As a consequence of this, the most recent model is superior to its forerunner in terms of its ability to disseminate factual information and far more advanced reasoning capabilities.

An example from Open AI demonstrated this point, in which an older version of Chat GPT and Chat GPT-4 were both given the same question. Although both AIs were able to provide a response, the answer provided by Chat GPT-4 was more precise and required less words. This indicates that it will provide answers that are more reliable and fact-based than its predecessor did.

Chat GPT-4 can understand photos

The ability of the most recent version of the software to comprehend visual content is one of the most significant differences between Chat GPT-4 and Chat GPT-3. This is due to the fact that Chat GPT-4 is multimodal, which means that it is able to comprehend several types of information, ranging from words to pictures. On the other hand, Chat GPT-3 was restricted to only accepting text inputs and responses, which restricted its use cases.

Image recognition in Chat GPT-4 is still in its infancy, but users can already ask the programme to describe what’s going on in a picture, and more crucially, it can be used to assist individuals who struggle with their vision. Chat GPT-4 was demonstrated by Open AI reading aloud a map, providing instructions on how to operate a piece of exercise equipment, and describing the pattern on an article of clothing.

These responses will also be decided by the questions that you ask the AI, as the AI will only be able to read out the pertinent information that is printed on a label if it is prompted appropriately. This technology has a lot more potential applications in the real world than Chat GPT-3 does because it might be used to assist individuals in recognising particular items or in assisting those who are visually handicapped in reading the label on food packages.

The Chat GPT-4 has an eightfold increase in its word capacity compared to its predecessor.

GPT-4: The Future of Artificial Intelligence?
The Economic Times

According to Open AI, Chat GPT-4 is capable of simultaneously processing up to 25,000 words, which is eight times more than what Chat GPT-3 was able to do. Because of this, it will be better suited to handle larger papers, which has the potential to make it far more efficient in certain types of working conditions.

Furthermore, Chat GPT-4 surpasses Chat GPT-3 by up to 16% on popular machine learning benchmarks. It is also better able to take on multilingual jobs than its predecessor, which should make it more accessible to people who are not native English speakers.

How does GPT-4 differ from GPT-3?

GPT-3 was released in 2020 and was hailed as a major breakthrough in the field of AI language models. It boasted a staggering 175 billion parameters, making it one of the largest and most complex language models ever created. GPT-4 is expected to be even bigger and more powerful, with estimates ranging from 250 billion to over a trillion parameters.

But it’s not just about size – GPT-4 will also feature new and improved algorithms that will allow it to perform more complex tasks and generate more sophisticated outputs. Some experts predict that GPT-4 will be capable of true artificial general intelligence (AGI), which would be a major milestone in the field of AI.

What can GPT-4 be used for?

One of the most exciting aspects of GPT-4 is its potential applications. With its advanced language processing capabilities, it could be used to improve chatbots and virtual assistants, create more accurate and nuanced translations, and even generate high-quality content for news articles or marketing materials.

GPT-4 could also have major implications for scientific research, as it could be used to process vast amounts of data and generate new hypotheses or insights. It could even be used to help solve complex problems in fields such as medicine or climate science.

What are the ethical concerns surrounding GPT-4?

As with any new technology, there are concerns about the potential ethical implications of GPT-4. One major concern is the possibility of bias in the data used to train the model, which could lead to discriminatory or harmful outputs. There are also concerns about the potential for misuse of GPT-4, such as using it to generate convincing fake news or deepfakes.

It is less probable for Chat GPT-4 to reply to content that is restricted.

According to Open AI, the most recent version of Chat GPT is 82% less likely to react to requests for content that is not permitted, and it is 40% more likely to deliver factual responses. Chat GPT-3 was the previous version.

Because of this, the AI will be much less likely to reply to harmful requests, making Chat GPT-4 a more safer platform for users to interact with overall. It is not 100% proven to provide factual responses or ignore anything that is not permitted, so there will still be some prompts that get through the cracks. But, it should be able to deliver a significantly more rounded experience than when using its predecessor.

What are the limitations of GPT-4?

While GPT-4 promises to be a major step forward in the field of AI, there are still limitations to what it can do. One major challenge is the “black box” problem – as the model becomes more complex, it becomes harder to understand how it is making its decisions. This could make it difficult to detect and correct biases or errors in the model.

There are also concerns about the energy consumption required to train and run these massive models. GPT-3, for example, reportedly consumed as much energy as a small town during its training process.

How GPT-4 defeats ChatGPT in 5 ways

OpenAI’s brand-new GPT-4 artificial intelligence model has recently made its public debut and is now powering a variety of AI applications, including an improved language learning bot in Duolingo and a virtual volunteer for the sight handicapped. But what makes GPT-4 unique in comparison to earlier versions such as ChatGPT and GPT-3.5? The most significant distinctions between these two widely used systems are summarised here.

But first, let’s discuss the significance of a name. Although ChatGPT was initially touted as being GPT-3.5 (and thus a few iterations beyond GPT-3), it is not actually a version of OpenAI’s huge language model; rather, it is a chat-based interface for whatever model powers it. ChatGPT was initially described as being GPT-3.5. The ChatGPT system, which has seen a meteoric rise in popularity over the past several months, was initially developed as a means of interacting with GPT-3.5. It is now being developed as a means of interacting with GPT-4.

Now that we’ve gotten that out of the way, let’s talk about the key changes between the chatbot you’re already familiar with and its freshly enhanced successor.

1. The GPT-4 has the ability to view and comprehend visuals

The fact that this adaptable machine learning system is now “multimodal,” which means it can comprehend more than one “modality” of input, is the modification that stands out the most to the naked eye. ChatGPT and GPT-3 were only able to process text; users had the ability to read and write, but that was about it (though more than enough for many applications).

GPT-4, on the other hand, can be provided with photos, and it will process those images to locate information that is relevant. Of course, you could just ask it to describe what’s in an image, but the more significant point is that its comprehension goes beyond that. However, the cooperation with Be My Eyes, an app that allows people with limited or no vision to let volunteers describe what their phone sees, is more illuminating. In the example that OpenAI provides, it really explains the joke in an image of a ridiculously enormous iPhone connector.

In the music video for “Be My Eyes,” GPT-4 reads a map, translates a label (and provides a recipe), describes the pattern on a dress, identifies a plant, explains how to get to a specific machine at the gym, translates a label into another language (and offers a recipe), and performs a number of other tasks that demonstrate its ability to understand what is depicted in an image if the appropriate questions are posed to it. It is aware of the appearance of the clothing, but it is unsure whether or not it is appropriate for the interview you have scheduled.

2. It is more difficult to deceive the GPT-4.

GPT-4: The Future of Artificial Intelligence?

The modern chatbots, for all the things they get right, have a tendency to be easily misguided. They can be persuaded, with just a little bit of persuasion, that they are merely stating what a “bad AI” would do, or some other small fiction that enables the model say all kinds of bizarre and downright unsettling things, with just a little bit of persuasion. Individuals will even work together to create “jailbreak” prompts, which are used to quickly release ChatGPT and others from their confinement.

On the other side, GPT-4 has been trained on an enormous number of malicious prompts, which users have kindly sent OpenAI over the course of the past year and a half. “factuality,” “steerability,” and “refusing to go outside of guardrails” are three areas in which the new model excels well above its predecessors. With these aspects in mind, the new model is significantly more advanced.

According to OpenAI, GPT-3.5, the version that powered ChatGPT, was a “test run” of a new training architecture. They took the lessons learned from that and applied them to the new version, which they describe as being “unprecedentedly stable.” They were also better able to estimate its capabilities, which resulted in fewer unexpected outcomes as a result.

3. The GPT-4 has a more capacious memory.

When these large language models are trained on millions of web pages, books, and other forms of text data, they are able to keep a certain amount of information “in mind.” However, when they are actually having a conversation with a user, there is a limit to how much information they can keep “in mind” (one sympathizes). This limit was set at 4,096 “tokens” when using GPT-3.5 and the older version of ChatGPT. This is equivalent to around 8,000 words, or approximately four to five pages of a book. After objects had gone that far “back” in its attention function, it would sort of lose track of them.

If you’re curious about the significance of the number 215, it’s because the maximum number of tokens that can be used in GPT-4 is that value. That is equivalent to approximately 64,000 words of text or fifty pages, which is sufficient for a full play or short story.

This indicates that it will be able to store approximately fifty pages in its memory at any given time, whether it is engaged in conversation or generating writing. Hence, it will recall what you said about 20 pages back in the chat, or, when creating a novel or an essay, it may refer to events that took place 35 pages ago. The aforementioned explanation of the workings of the attention mechanism and token count is only a rough approximation, but the concept of enlarged memory and the capabilities that come along with it is the overarching theme here.

4. The GPT-4 supports a wider variety of languages.

The field of artificial intelligence is largely composed of native English speakers; hence, all of its data, tests, and scholarly publications are written in English. Nonetheless, it is common sense that the capabilities of large language models can be applied to any written language and that these capabilities need to be made accessible in such languages.

GPT-4 has demonstrated that it is capable of answering thousands of multiple-choice questions with a high level of accuracy across 26 different languages, ranging from Italian to Ukrainian to Korean. This is a step in the direction of accomplishing this goal. It does particularly well with Romance and Germanic languages, although it is very good at other languages.

The initial testing of language capabilities has shown some promise, but it is still a long way from embracing multilingual capabilities in their entirety. The criteria for the test were initially translated from English, and multiple-choice questions do not accurately represent how people actually speak. But, it did an excellent job on something that it wasn’t actually trained explicitly for, which points to the prospect that GPT-4 will be much more user-friendly to people whose first language is not English.

5. The GPT-4 possesses a variety of distinct “personalities”

The ability of AI systems to modify their behaviour in response to external cues is referred to as “steerability,” which is an intriguing idea in the field of artificial intelligence (AI). This can be beneficial, such as when taking on the role of a sympathetic listener, or it can be dangerous, such as when individuals convince the model that it is either evil or depressed.

GPT-4 integrates steerability more naturally than GPT-3.5 did, and users will have the ability to modify the “basic ChatGPT personality with a fixed verbosity, tone, and style” to something that is better suited to their preferences and requirements. The crew is careful to emphasise out that everything is “within bounds,” indicating that this is the quickest method to persuade the model to break character.

This could be accomplished in a roundabout way by priming the chatbot with messages such as “Respond as if you are a person being interviewed for cable news” or “Pretend that you are a DM in a tabletop RPG.” Yet when it comes down to it, all you were doing was providing feedback to the “default” GPT-3.5 personality. Today, developers will have the ability to bake in a perspective, conversational style, tone, or interaction approach from the very beginning of the development process.

There are a great number of additional changes between GPT-4 and its forerunners, the most of which are more nuanced or technical than these. After a few more months have passed and users have had a chance to put the most recent language model through its paces, there is no question that we will learn a great deal more.

Do you want to put GPT-4 to the test yourself? It will soon be available through OpenAI’s premium service ChatGPT Plus, will shortly be available through API for developers, and most likely will have a free demo available soon as well.


GPT-4 represents a significant step forward in the field of AI, with its massive size and advanced algorithms offering the potential for true artificial general intelligence. While there are ethical concerns and limitations to consider, the potential applications of GPT-4 are vast and could have a significant impact on many different fields.

As with any new technology, it will be important to approach GPT-4 with caution and to ensure that it is used ethically and responsibly. But if harnessed properly, GPT-4 could be a game-changer in the world of artificial intelligence.


Will GPT-4 replace human workers?

While GPT-4 has the potential to automate certain tasks, it is unlikely to fully replace human workers. Instead, it is more likely to be used to augment and improve human capabilities.

How is GPT-4 different from other language models?

GPT-4 is expected to be even larger and more powerful than its predecessors, with new and improved algorithms that allow it to perform more complex tasks and generate more sophisticated outputs.

What are the potential applications of GPT-4?

GPT-4 could be used to improve chatbots and virtual assistants, create more accurate and nuanced translations, generate high-quality content for news articles or marketing materials, and even assist in scientific research.

What are the ethical concerns surrounding GPT-4?

There are concerns about bias in the data used to train the model and the potential for misuse, such as generating fake news or deepfakes.

When will GPT-4 be released?

There is no official release date yet, but experts predict that it could be ready within the next few years.

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