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Following the success of GPT-3, Open AI released its brand-new Natural Language Processing (NLP) tool, GPT-4, on Tuesday. This large multimodal model is already turning heads, and it’s not hard to see why. With eight times the processing capacity of its predecessor and the ability to recognise and process images, people are asking: Is there anything GPT-4 can’t do?
In this blog, we’ll be taking a deep dive into GPT-4 and exploring every aspect of this impressive new NLP tool. We’ll be looking at how it works, what it can do and the potential applications for this new model in the world of SEO.
What is GPT 4?
GPT-4 is a multi-modal model created by Open AI, which uses Natural Language Processing (NLP) to process and understand text and images. Whilst still not on par with humans in many real-world scenarios, this impressive technology now exhibits human-level performance in professional and academic benchmarks, as well as having image input capability.
For example, developers had GPT-4, a take simulated bar exam that scored in the top 10% of test takers compared to GPT-3 in the lower 10%. They also asked it to tell them a joke, to which it had a quirky ‘sense of humour’, and it could even solve complex maths equations with impressive accuracy.
When conversing with GPT-4, the difference between GPT 3 may seem subtle. But, when used for complex tasks, the power of this new generative AI model performance is obvious.
How Does GPT 4 Work?
To understand how GPT-4 works, it is essential to examine its predecessor, GPT-3. We asked GPT-3 about its programming, and here’s what it had to say:
GPT-3 (Generative Pre-trained Transformer 3) is a language model that uses deep learning to generate human-like text based on a given prompt. It was trained on a massive dataset of text, allowing it to generate coherent and contextually relevant responses to various prompts.
GPT-3 works by using a type of neural network called a transformer. This transformer architecture is composed of several layers of attention mechanisms that allow the model to consider the relationships between each word in the input text. This attention mechanism enables GPT-3 to understand the context of a given prompt and generate responses that are semantically meaningful and grammatically correct.
In terms of improvements for GPT-4, we might expect increased model size, more sophisticated training data, and enhanced capabilities for understanding and generating natural language text. For example, GPT-4 might have a larger number of parameters, allowing it to generate even more complex and nuanced responses. Additionally, it could be trained on a wider variety of text sources, such as scientific literature or social media data, to improve its ability to understand and generate text in specific domains. Overall, GPT-4 is expected to be a significant improvement over its predecessor in terms of both its language generation capabilities and its ability to understand the context and meaning of text.”
As for Chat GPT’s predictions, it was incredibly accurate! GPT 4 was trained on a higher volume of parameters and a larger amount of text sources. This did, in fact, lead to it being much more accurate in interpreting internet data in the context of a given topic, as well as generating responses which seemed relevant and grammatically correct.
GPT 3 Vs GPT 4
Let’s examine a few of the differences in more detail:
GPT 4 Can Process Images (MultiModal Models)
Before this week, earlier GPT models were limited to a text-only setting and responses, meaning they were unable to understand images, diagrams and other visual information. This all changed with GPT-4, as it can now process visual data as human intelligence does. Simply ask GPT 4 to describe what is occurring in an image, and it can accurately tell you what’s happening in the scene.
40% Less Likely To Produce Inaccurate Information
One of the biggest criticisms of GPT-3 was that it sometimes produced inaccurate information and was not fully reliable. Open AI has reduced this figure significantly with GPT 4, using human feedback and increased capacity to train the model to a sufficient threshold. The result? GPT 4 is now 40% less likely to produce inaccurate information than its predecessor.
GPT 4 Is A Larger Model
Whilst GPT-3 was a 175 billion parameter model, this has been expanded to 1.6 trillion parameters in the release of GPT-4. This means that the model is capable of solving much more complex tasks than ever before, with fewer reasoning errors.
It Can Produce A Functional Website
In a demonstration of GPT-4, developers asked it to create a website based on a drawing on a piece of paper. In under 20 seconds, it produced HTML code that was then placed into an editor and showcased as a functional product. This is a massive leap forward for artificial intelligence in the tech industry compared to other AI models!
It Can Be Used As A Personal Tutor
GPT-4 can also be used as a personal tutor. You can ask it to teach a certain topic, language task or skill, and it will do so in an interactive manner that is easy to understand. Feel free to ask a follow-up question to help you make the learning process easier and more efficient.
Higher Advanced Reasoning Capabilities
Finally, large language models have higher advanced reasoning capabilities than GPT 3. This allows it to answer questions and solve problems that involve multiple steps and complex logic. Let’s say you’re struggling to find the time when you and your co-workers can meet, GPT-4 can take this information and accurately predict the context of your questions and provide a suitable time that works for all of you.
How Can You Use GPT 4 To Benefit Your Business?
If you’ve been considering using GPT-4 to benefit your business, you may wonder how this technology is better than GPT-3. Well, from providing better customer service to helping with SEO and content creation, this NLP model can be used in many different ways. Let’s get into the best applications of this technology:
1. Automation:
GPT-4 can automate tedious tasks that normally require a lot of manual labour and consume employee time. This could range from writing emails and managing customer support queries to writing blog posts for your website. Having GPT-4 do these in a fraction of the time will speed up these tasks and give you more time to focus on other tasks.
2. Natural Language Processing:
GPT-4 has the ability to understand natural language and extract meaning from words and phrases. This makes it ideal for understanding customer queries and providing effective solutions. If you’re struggling to respond and find a solution for a customer complaint, why not ask an AI?
3. Chatbot Creation:
GPT-4 can be used to develop more sophisticated chatbots that understand natural language. Customer service chats, personal tutors and automatic responses are just a few of the applications of a chatbot.
4. Content Writing:
The quality of GPT-4’s content and English language performance is higher than ever before. The blog posts, website pages and articles it generates are not only composed with a wider range of vocabulary but are also more engaging. These models can follow much more nuanced instructions and will conduct an automated evaluation to create captivating and even humorous text.
5. Cost Reduction:
Using GPT-4 will help reduce business labour costs, as it takes over tasks that would normally require multiple employees. This will save you money in the long run and help introduce additional training protocols.
GPT 4 For SEO:
If you’re in the SEO industry, the chances are that you’ve been looking for new ways to improve your rankings and find a way to speed up your content creation. GPT-4 is the perfect way to generate and optimise content as it will adapt to a user’s writing style and generate high-quality information.
Using GPT-4 for SEO will allow you to create higher volumes of quality content while maintaining the accuracy and relevancy of the information provided. The models trained on natural language processing are programmed to understand the keywords and phrases which search engines look for when ranking pages in SERPs.
Not only will the content you create include relevant keywords and phrases, but you can also use the NLP model to scan and analyse existing content for improvements that can be made. This will enable you to focus on more creative aspects of SEO, such as link building and keyword research, rather than spending hours writing optimised content from scratch.
However, as with using any AI, you must be sure not to only rely on its output as there may be times when it makes mistakes or gives inaccurate information. These days, the best practice is to use AI more collaboratively by combining it with human input and expertise. This is the key formula to using AI successfully.
If you’re after more tips to improve your SEO, we’d recommend checking out our blogs on ‘What Do Pancakes and SEO Have In Common: The 3 Perfect Ingredients For Your SEO Strategy‘ and ‘5 Upcoming SEO Trends To Watch Out For in 2023’
Where Can I Access GPT-4?
GPT 4 is currently only available to Open AI’s Chat GPT Plus users, who pay a subscription fee monthly. However, you can sign up for limited access on Open AI’s website, as they’ll be letting a small number of people try the new software for free!
GPT 3 is still a great tool to use if you’re looking to generate subheadings, have queries answered and much more. For more information, check out our blog on ‘GPT 3: Everything You Need To Know’.
What is Bing Chat?
Did you know that Microsoft partnered with Open AI to use GPT-4 for their chatbot? Bing Chat is a chatbot that is currently powered by GPT-4 and allows users to have conversations with the bot through natural language. Bing Chat can answer queries and provide information about topics such as weather, flights, sports, news and more!
We hope this blog post has given some insight into GPT-4 and how it can help you increase productivity, speed up tasks and reduce costs. Whether you’re in SEO, customer service or content creation, using GPT-4 is becoming an increasingly popular way of achieving more with AI technology. It’s important to remember that whilst the use of AI can be incredibly powerful, it should always be used in combination with human input and expertise to ensure accuracy and relevance.
For more information, check out this helpful video by Adrian Twarog below:
GPT 4 FAQs:
We’ve done our best to try and answer some of the most frequently asked questions about GPT-4 below:
When is the GPT-4 release date?
GPT 4 was released on the 14th of March 2023, following the publication of its predecessor GPT-3, late in 2022. Currently, it is only available under premium access at GPT plus or for those who signed up for a free demo. It has traditional benchmarks designed to measure its performance compared to GPT 3. Deep learning language models are a great way to speed up your work performance, so you can be sure this will be a worthwhile investment.
How much will GPT-4 cost?
A subscription to GPT 4 currently costs $20 a month, which equates to roughly £16 a month for British users. This is still significantly less than other AI subscription services.
Is GPT-4 released?
Yes, it was released in March 2023. Existing large language models include GPT 3.
Can GPT 4 tell a joke?
Yes, GPT 3 can tell a joke! GPT-4 is programmed to understand the structure and context of natural language. This means that it can not only process written words but also understand the nuances behind them in order to generate humorous content. For example, developers asked it to form a joke after showing it three pictures of a modern smartphone charging port. It was then able to craft a joke based on these images. It can also pass the uniform bar exam, have a casual conversation and much more!
What is generative AI?
Generative AI is a set of algorithms that are capable of creating realistic content such as text, images, or audio from the data they have been trained on. GPT-4 is an example of machine learning models, which generate text outputs, images and sound.