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GPT-4 AI: The Definitive Guide [For Bigenners – 2023]

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Artificial Intelligence and Deep Learning are revolutionizing the world, empowering businesses and individuals to achieve greater efficiency in their work. One of the latest trends in AI is the GPT-4. But what exactly is GPT 4 chat, and why should you care?

In this definitive guide, you will explore everything you need to know about GPT-4, from its basic definition to its capabilities, limitations, and use cases.

You will delve into its features, capabilities, pricing, and limitations. Additionally, we will discuss the improvements from its predecessor.

By the end of this definitive guide, you will have an in-depth understanding of GPT 4 chat and how it can improve your overall efficiency.

So, let’s dive in and learn everything there is to know about this exciting new AI technology!

What is GPT 4 Chat? and What is GPT-4?

GPT-4 is a large multimodal model created by OpenAI that accepts image and text inputs, emits text outputs, and exhibits human-level performance on various professional and academic benchmarks.

GPT-4 Chat or ChatGPT 4 is just a PRODUCT built on top of GPT-4, the AI model.

GPT-4 performs more in-depth reasoning and cognitive tasks, such as common-sense reasoning and causal inference. This means that it can understand and infer relationships between events and objects, making it an ideal tool for complex problem-solving.

Moreover, its capabilities are not limited to just logical or analytical thinking, as it also has the ability to generate creative outputs such as composing songs, writing screenplays, or learning a user’s writing style.

Another exciting feature of GPT 4 chat is its ability to handle over 25,000 words of text, which is a significant improvement that helps you in long-form content creation, extended conversations, and document search and analysis.

Also, it can observe complex instructions in natural language and solve hard problems with accuracy. 

But wait, there’s more! GPT 4 chat is not just limited to text inputs – it can also accept images and generate captions, classifications, and analyses.

What are Generative Pre-trained Transformers?

Generative Pre-trained Transformer (GPT) is a family of large language models (LLMs) used for creating human-like text in various applications developed by OpenAI. The most common uses of GPT models include summarizing text, translating text, generating code, and generating blog posts, stories, and conversations.

GPT models can be fine-tuned using reinforcement learning with human feedback to create better results in specific applications. GPT-4 AI, the successor of GPT-3.5 or ChatGPT formally, it reduces the costs of computing, time, and other resources.

The improvement in GPT models will open up endless applications across industries, including programming, management, and education. With the ability to generate human-level language and learn from real-world content, the future applications of GPT-4 AI are limitless.

Let’s take a look at GPT’s versions so far:

AI Models Before GPT 4 Chat

Before GPT-4

Get ready for a thrilling ride through the history of GPT models, folks!

  • It all started with GPT-1, released in 2018, and had 117 million parameters to work with. This transformer model could generate human-like text, but it was nothing compared to its successors.
  • Then came GPT-2 in 2019, with 1.5 billion parameters.
  • In 2020, we saw the launch of GPT-3 with a whopping 175 billion parameters, making it the largest language model available at that time. Its capabilities were unparalleled, and it was able to perform multiple tasks with ease, such as language translation and even coding.
  • On November 30, 2022, OpenAI launch ChatGPT for the public, which was based on GPT-3.5.
  • Afterward, on March 14, 2023, we saw the launch of the new model GPT-4 with a whopping 1.2 billion parameters. GPT 4 chat is available for users who upgrade to the Plus plan.

In a nutshell, the main difference between the different versions of GPT is the size of the model, with each successive version being larger than the previous one. As the size of the model increases, its training data also increases, leading to an improved ability to produce text that resembles human writing and comprehend natural language.

What makes GPT 4 Chat better than the old version of ChatGPT 3.5?

Exam results

GPT-4 is the latest AI language model and exhibits human-level performance on various professional and academic benchmarks, proficiently superseding its predecessor, GPT-3.5.

Despite being more expensive than the previous version (ChatGPT), GPT-4’s high-level performance and unparalleled capabilities make it worth every penny. According to the official website, GPT 4 chat is less likely (82%) to respond to queries for disallowed content, and 40% more likely to produce factual responses than its older sibling GPT-3.5.

It has the ability to generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style. All these features showcase how GPT 4 chat is superior to the previous version and set a new benchmark in the history of AI language models.

In short, some aspects in which GPT 4 excels over ChatGPT are:

  • Solving novel and difficult tasks across various domains without any special prompting.
  • Performance on par with human-level performance in mathematics, coding, vision, medicine, law, psychology, and more.
  • Vastly surpasses prior models like ChatGPT in terms of overall performance.
  • GPT 4 with vision scored 99th percent on the uniform bar exam.
Uniform Bar Exam

How can GPT-4 generate answers?

GPT-4 is a complex AI model that is capable of generating text output by accepting both image and text inputs. Although it only responds via text, it can parse text and image inputs.

Its sophisticated design allows it to understand and reason about the world, as well as solve difficult problems with greater accuracy than ever before. GPT 4 chat has tremendous applications, and it can be integrated into a wide range of systems such as business software and e-commerce websites to reduce workload and improve efficiency.

Moreover, OpenAI cooperated with many companies and organizations building creative products with GPT-4 including the Duolingo app, be my eyes, stripe, and khan academy. 

GPT-4 capabilities

Based on my experience with this tool, GPT-4 has several capabilities that make it excel over its predecessors.

  • OpenAI claims that it can process up to 25,000 words at a time — that’s eight times more than the original GPT-3 model.
  • It has advanced reasoning capabilities.
  • It can understand more nuanced instructions, requests, and questions than GPT-3.5.
  • GPT-4 is also a multimodal language model AI, which means it can understand text and other media, like images. This has led to some exciting uses like GPT 4 chat creating a website based on a quick sketch or being able to suggest recipes for a user after analyzing an image of the ingredients they have to hand.

As you can see, GPT 4 chat is It is actually a game-changer with enhanced language modeling abilities, improved accuracy, and sophistication in generating human-like text. GPT 4 chat is expected to take us another leap closer to achieving artificial general intelligence (AGI). With those new capabilities of GPT-4, we can expect it to revolutionize various industries that rely on natural language processing, such as customer service, content creation, education, and more.

One of the most significant advancements in GPT 4 chat is its ability to understand the context better. This means it will be able to differentiate between similar phrases used in different contexts, leading to more accurate text generation.

Additionally, GPT-4 is expected to have improved multitasking abilities, allowing it to handle multiple language tasks simultaneously. This means that it can understand and respond to complex queries while generating relevant, high-quality text.

GPT-4 dataset (The power behind the AI Model)

The dataset used to train GPT 4 is extensive and drawn from various sources, including books, articles, websites, and other public data available on the internet. Although the specific sources and size of the dataset remain undisclosed, it is believed to be one of the largest datasets used for language processing so far.

The model can also be fine-tuned for specific language tasks by training it on a smaller, more specialized dataset, which helps the model gain a deeper understanding of the task it is being trained for.

The extensive and varied dataset used for GPT-4’s training allows it to generate accurate and relevant text and adapt to different contexts, making it a powerful tool for language processing.

Additionally, this large dataset enables GPT-4 to handle multiple language tasks simultaneously, further enhancing its multitasking abilities.

All in all, the vast and diverse dataset used to train GPT 4 makes it a potent language processing tool that can adapt to various contexts and generate highly accurate and relevant text. Its ability to be fine-tuned for specific language tasks adds even more value, as it allows the model to gain a deeper understanding of the task at hand, leading to more precise results.

GPT 4 Limitations

Despite the significant improvements made in the latest version of GPT 4 chat, it still has its limitations. One major issue is that it generates “hallucinations” and makes reasoning errors. GPT-4 also continues to struggle with social biases and adversarial prompts and can be significantly more expensive than previous versions of GPT.

Therefore, it’s essential to be cautious when using language models in high-stakes contexts, as GPT 4 chat remains less capable than humans in many real-world scenarios.

In addition, GPT-4 training data was last updated in September 2021, which means that it may not have access to the most current information or trends. As a result, GPT-4’s responses may not always reflect the latest developments in a particular field or industry. Therefore, it’s crucial to keep in mind that while GPT-4 is an impressive language processing tool, it is not infallible and should be used with care and caution.

Even with all its advancements, GPT 4 chat is far from perfect, and there is still much work to be done to improve its capabilities and address its limitations.

However, remember that OpenAI CEO Sam Altman wrote on Twitter: “ChatGPT is incredibly limited but good enough at some things to create a misleading impression of greatness. It’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.”

GPT-4 Risks

GPT 4 risks

OpenAI’s mitigations have significantly improved many of GPT-4’s safety properties compared to GPT-3.5. They decreased the model’s tendency to respond to requests for disallowed content by 82% compared to GPT-3.5, and GPT 4 responds to sensitive requests (e.g., medical advice and self-harm) in accordance with our policies 29% more often.

The development of GPT 4 chat, a hypothetical successor to the popular language model GPT-3, presents several risks, such as generating harmful advice, buggy code, or inaccurate information. 

There is also concern about the lack of accountability in the development process and potential biases embedded in the model’s training data. As with any new technology, it is important to carefully consider its implications and ensure that it is developed and used ethically and responsibly.

However, according to OpenAI’s GPT-4 research, GPT 4 chat has significant improvements in safety properties compared to GPT-3.5. For example, they have reduced the model’s tendency to answer to requests for disallowed content by 82% compared to GPT-3.5, and GPT-4 responds to sensitive requests (e.g., medical advice and self-harm) in accordance with OpenAI’s policies 29% more often.

Top use cases of GPT 4

OpenAI has extensively evaluated the model on academic and professional benchmarks, where it has demonstrated human-level performance. It has also outperformed some of the existing language models in traditional machine learning benchmarks.

Some of the more traditional use cases for GPT 4 include natural languages processing tasks such as text generation, translation, and summarization.

However, GPT-4’s capabilities extend far beyond these traditional use cases. Here are some potential out-of-the-box use cases for GPT 4:

  • Creative writing: GPT-4’s ability to generate coherent and fluent text makes it a powerful tool for creative writing. It could be used to generate poetry, songs, short stories, or even entire novels.
  • Education: GPT 4 chat could be used to create personalized educational content for students. For example, it could generate explanations of complex concepts in a way that is tailored to the individual student’s learning style and level of understanding.
  • Gaming: GPT 4 could be used to create dynamic and engaging narratives for video games. It could generate dialogue and storylines on the fly, creating a unique and immersive gaming experience for each player.
  • Virtual assistants: GPT-4 could be used to power the next generation of virtual assistants. Its ability to understand and generate natural language would allow it to carry out complex tasks and engage in more human-like conversations with users.
  • Accessibility: GPT-4’s ability to understand and generate text and other media could be used to improve accessibility for people with disabilities. For example, it could be used to generate audio descriptions of images for people who are blind or visually impaired.
  • Consultations: GPT 4 chat could potentially be used to provide consultations in various fields. For example, it could be used to provide legal or financial advice or solve a problem between your friends.
  • Coding: GPT 4 could assist developers in creating code documentation, generating comments, or even writing entire code blocks for certain tasks. This would save time and effort for developers, allowing them to focus on more complex programming tasks. Additionally, it could also serve as a tool for teaching coding to beginners by generating explanations and examples in multiple programming languages and frameworks like HTML, javascript, python, and more.

These are just a few examples of the many potential use cases for GPT-4. Its advanced capabilities and versatility make it a powerful tool with a wide range of applications.

GPT 4 Chat Output examples

  • Summarize the story or scenario, meaning, moral, and plot twist of this story
  • Generate a daily study schedule for the next week, including specific times for each subject and any breaks or activities planned
  • Create a JavaScript program to create a responsive web page layout using CSS and HTML
  • Write a song about the power of friendship and support

GPT-4’s Competitors:

As the next generation of language processing technology, GPT 4 is expected to pave the way for a new era of innovation. However, it is not the only advanced system of its kind. Its competitors include Microsoft’s Bing CHAT and Google’s Bard, among others.

Despite the competition, GPT-4’s advanced capabilities and potential applications make it a formidable player in the field of language processing.

Its ability to generate natural language and carry out complex tasks could revolutionize everything from video games to virtual assistants to accessibility for people with disabilities.

Let’s take a look at some of GPT-4’s rivals:

Bing Chatbot

Microsoft Bing

Bing CHAT is a feature that allows you to interact with a chatbot directly within the Microsoft Edge browser. With Bing CHAT, you can ask questions and get answers, create content, and gain insights related to the content you’re viewing.

It’s designed to be user-friendly and offers a natural and human-like conversation with AI. To read more about Bing CHAT, check out this review.

Google Bard

Google Bard

Google Bard is an AI experiment by Google that enables collaboration with generative AI. With Bard, you can unleash your imagination, increase productivity, and bring your ideas to life.

You can use it to get tips on various topics, simplify complex concepts, or even outline a blog post. Bard is powered by a large language model and is based on Google’s understanding of quality information.

If you want to know more about this tool, check out this Google Bard review.

GPT 4 Pricing and Subscription

ChatGPT Plus subscription

Accessing GPT 4 chat requires subscribing to ChatGPT Plus, which costs $20 per month. Or join the GPT-4 API waitlist to get access and integrate it into your own systems. The granting of access to the GPT 4 API depends on various factors, such as your intended application and previous involvement with AI technology. To join GPT-4 API waitlist, visit this link.

However, when you obtain an API key, You will be charged based on the number of tokens you use, where tokens are pieces of words used for natural language processing. For English text, 1 token is approximately 4 characters or 0.75 words.

Here is a list of pricing per token:

Pricing per token

Whereas the model with a 32k context length can take twice as many tokens as input as the model with an 8k context length. This means that the model with a 32k context length can generate more coherent and relevant output for longer pieces of text.

Frequently Asked Questions

Can I use GPT 4 Chat for free?

Yes, there are several ways to use GPT 4 for free. One way is to chat with Bing using the Edge browser. Microsoft has integrated the chatbot into its new Bing search engine and it has been updated with the latest GPT 4 language model.

What are the languages that GPT-4 support?

GPT 4 chat supports more than 24 languages including English, Spanish, French, German, Chinese, Japanese, and more.

GPT 4 and 3 shot accuracy on MMLU across Languages

Is GPT-4 user-friendly for non-technical users?

Yes, GPT 4 chat is designed to be user-friendly and accessible for non-technical users. The tool has a simple interface and doesn’t require any coding skills to use.


So there you have it! GPT 4 Chat is not only an amazing tool, but it can also be your personal assistant. With its advanced capabilities and a large dataset, it can help you with a wide range of tasks and make your life easier.

And the best part? It’s constantly improving and getting better at understanding and generating human language. So why not give it a try and see for yourself how it can revolutionize the way you interact with technology?

I’m sure you won’t be disappointed.

Thanks for reading and I hope this guide has been helpful to you.

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