What is GPT-4 and How is it Different from ChatGPT?

The ability of artificial intelligence (AI) to transform a variety of industries, including healthcare, banking, and manufacturing, has led to an increase in its popularity in recent years. Artificial intelligence (AI) is now capable of carrying out complicated tasks that were previously only achievable with human assistance. The need for AI-powered applications that can help with daily tasks has increased as a result of the proliferation of smart devices and the Internet of Things. Overall, AI’s appeal is fuelled by its capacity to raise productivity, lower costs, and improve user experiences across a range of industries.

What is GPT

Before going into detail with GPT-4, we should understand the meaning of GPT. A deep learning model for text production called the Generative Pre-trained Transformer (GPT) was learned using online data. It is utilized for conversation AI, question-and-answer sessions, text summarization, machine translation, classification, and code generation. GPT models have a plethora of uses. In order to produce even better outcomes, you can even fine-tune them using specific data (transfer learning). The “sauce” from GPT models makes it a lot simpler to develop NLP applications. Easy means you can get started quickly and avoid having to reinvent the wheel for language’s general concepts. It also means you can save time, money, and resources

What is GPT-4

Microsoft indicated in advance that GPT-4 was publicly introduced on March 13, Nevertheless, as of the right moment, it’s only accessible through the ChatGPT Plus premium membership. The free version of ChatGPT that is currently available will continue to use GPT-3.5, which is less accurate and competent in comparison. The most recent enhancement to the OpenAI platform for deep learning is GPT-4. It is a multi-modal platform that is exclusively accessible via API to ChatGPT Plus subscribers. A text-generating artificial intelligence program dubbed GPT-4 has just been updated by the tech research group OpenAI, showcasing some of the language model’s new capabilities. In comparison to GPT-3, GPT-4 not only produces more natural-sounding language and solves issues more precisely. In addition to processing text, it can also process images. 

The fact that GPT-4 is “multimodal,” or compatible with both text and graphics, maybe the most significant difference. It cannot produce images (unlike generative AI models like DALL-E and Stable Diffusion), but it can process and react to visual inputs. Understanding the context of the image is necessary to be able to do this. It involves comprehending how and why a picture is put together and relating that to how language is used in society, according to the speaker. “ChatGPT couldn’t accomplish that.”

Users can upload photos to GPT-4 and receive recommendations based on the image because GPT-4 can process images. For instance, GPT-4 can recommend some recipes you can make with flour, butter, eggs, and milk if you input a photo of those ingredients. Nevertheless, the general public cannot yet use this feature. In a nutshell GPT-4 can do some of the following actions with perfection:

  • Can understand images
  • Can pass exam
  • Capable programmer
  • Can create its own lawsuits
  • Can understand humor
  • Create website
  • Code video games
  • See and understand the image
  • Harder to trick
  • Has a longer memory
  • Is more Multilingual


GPT models have a plethora of uses. In order to produce even better outcomes, you can even fine-tune them using specific data (transfer learning). You can get started quickly and avoid having to reinvent the wheel for language’s general concepts. It also means you can save time, money, and resources. The powerful artificial intelligence bot ChatGPT was created by OpenAI. Its creators, Elon Musk, Altman, and other Silicon Valley investors, established an artificial intelligence research non-profit organization in 2015, and on November 30, 2022, they made it public. ChatGenerativePreTrainedTransformer is what we refer to asChatGPT. It’s a potent AI bot that can comprehend human speech and write in-depth articles that are simple to understand for people. ChatGPT is engaging due to the question-and-answer approach used.

Difference Between GPT-4 and ChatGPT

Is GPT-4 equivalent to ChatGPT? Actually, no. If ChatGPT is the vehicle, GPT-4 is the engine: a potent universal technology that can be tailored to a variety of applications. GPT-4, however, has applications beyond only chatbots. Assistive technology company Is My Eyes is using the tool to create a tool that can describe the world for a blind person and answer follow-up questions about it. 

Duolingo has built a version of it into its language learning app that can explain where learners went wrong, rather than simply telling them the correct thing to say. Stripe is using the tool to monitor its chatroom for scammers.

The newest language model for the ChatGPT AI chatbot, GPT-4, has only recently been launched, but it’s already garnering attention. The ability of the new model to comprehend images is one of many fascinating ways that it is smarter than the old one. It can also process more than eight times as many words. Also, it’s far more difficult to trick people now.

The new GPT 4 has a multimodal function and lets you ask image questions in addition to words, unlike the ChatGPT, which only responds to inquiries through text. In other words, you can respond to the questions by pasting the image into them.

However, in order to use GPT-4, you must sign up for ChatGPT Plus, a $20 monthly subscription that offers premium access to the site. Presently, using GPT-4 has a cap of 100 messages per four hours.

OpenAI, a firm supported by Microsoft Corp., unveiled GPT-4, a potent update to ChatGPT. The GPT-4 program can adopt a dialogic conversational position and provide superior information, facts, and analysis in response to queries. Users of ChatGPT can alter the chatbot’s tone and delivery style, unlike the technology’s previous iteration, which had a predetermined tone and aesthetic.

Compared to other chatbots, GPT 4 is more accurate and less prone to blunders. Until recently, Chat GPT frequently provided incorrect responses to users, but this will no longer be the case with the latest version. It is now more modern and secure thanks to the corporation.

The new GPT 4 is multilingual and knows more than 26 languages, whereas ChatGPT 

only understands English better. People will be able to accurately answer questions in their original language using GPT 4.

The intended uses of GPT-4 and ChatGPT are one of their key distinctions. A general-purpose language model called GPT-4 can be applied to a variety of natural language processing applications, including sentiment analysis, language translation, and text summarization. It is intended to be a very adaptable paradigm that can fit a variety of use cases. Contrarily, ChatGPT was created specifically for conversational applications. To produce responses to text input that resemble those of a human, it has been trained on a sizable amount of conversational data, such as postings on social media, chat logs and customer service discussions. As a result, ChatGPT is especially well suited for chatbots and other conversational interfaces, where producing responses that sound really is essential for a good user experience.

Being a general-purpose language model, GPT-4 is made to be extremely flexible to a variety of tasks involving natural language processing. It is trained on a massive amount of text data from many sources, including books, journals, and the internet, in order to accomplish this. This training data are used to train the model to identify linguistic patterns and to produce accurate and convincing output for a variety of application cases. In contrast, ChatGPT was created expressly for conversational applications. It was trained using a huge volume of conversational data, including posts on social media, chat logs, and interactions with customer service. For a more organic and interesting experience, this training data is utilized to instruct the model to produce replies to text input that resembles those of humans.

The way input and output are handled by GPT-4 and ChatGPT differ significantly. A wide range of text input forms, including long-form text, short-form text, and even structured data like tables and lists, can all be processed by GPT-4. Additionally, it is intended to produce output in a wide range of formats, such as summaries, translations, and answers to queries in natural language. Contrarily, ChatGPT was created primarily to produce natural language responses to text input. Because it is designed to handle conversational input and output, it may provide incredibly accurate and realistic-sounding user responses. Because of this, ChatGPT is perfect for chatbots and other conversational interfaces, where producing responses that sound human is essential for a satisfying user experience.

GPT-4 and ChatGPT differ from one another in terms of the size and complexity of the models. One of the biggest language models ever made, GPT-4 is anticipated to include over 10 trillion parameters. Due to its huge size, it has the ability to execute and attain even higher levels of accuracy across a variety of natural language processing tasks. In contrast, ChatGPT is built using the GPT-3.5 design, a scaled-down and lighter variation of the transformer architecture used in GPT-4. ChatGPT is specifically tailored for conversational applications, allowing it to achieve extremely accurate and natural-sounding responses to text input despite having fewer parameters than GPT-4.

The most recent iteration of the big language model can also use photos as inputs to recognize and analyze things in a picture, in contrast to GPT-3.5 (known as ChatGPT), which only accepts text prompts. GPT-3.5 can only provide responses of up to 3,000 words, however, GPT-4 can produce responses of more than 25,000 words.GPT-4 is 82% less likely to reply to queries for banned content than its predecessor and scores 40% higher on certain tests of factuality. Additionally, it will allow developers to choose the verbosity and tone of their AI.


Simply said, GPT-4 is a clever fusion of machine learning, natural language processing, and artificial intelligence. It is a chatbot with AI support that encourages user-generated content. For organizations or customers who desire a quick, individualized interaction with customer care representatives, GPT-4 is the ideal answer. 

Users can engage in casual chats that mimic speaking with a human customer support agent thanks to this robust AI-driven technology. GPT-4’s user-friendly design facilitates effortless and straightforward communication. Users can engage in casual discussions that mimic speaking with real people using an AI-driven system.

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