GPT-4 – Everything You Need To Know About OpenAI’s New Multimodal Model
When an AI tool scores in the 90th percentile in a Bar Exam, we know that the world is changing. Yes, we are talking about one of OpenAI’s recent artificial intelligence wonders – GPT-4.
While the world is talking about AI. The marketing realm is raving about ChatGPT. Meanwhile, there’s a big announcement that now has everyone’s attention. Drum roll, please!
There’s a new kid on the block. GPT-4. The much anticipated and supposedly “OpenAI’s most advanced system” that’s all set to revolutionize the conversational AI sector.
In case you missed the live stream where GPT-4 was announced, here you go:
That was a lot to process, right? We’ll break it down for you in this blog. Because AI and its potential in the world of marketing, in the world of business as we know it, has been truly fascinating. And it would be an understatement to say that OpenAI’s contributions to this have been huge.
- GPT-4 – an introduction
- How is GPT-4 different from ChatGPT?
- GPT-4 – 6 use cases you probably never thought of
- Time to stop resisting and start accepting AI
GPT-4 – an introduction
Just months ago, everyone was talking about ChatGPT. In case you missed our earlier post on ChatGPT, do check it out here. ChatGPT truly turned out to be a trendsetter in the conversational AI realm. It paved the way to a paradigm shift and opened up a lot of conversations about AI and its augmentative benefits to the human workforce.
ChatGPT is based on OpenAI’s GPT-3.5. It has been a revolution in language generation and it works on a sophisticated machine-learning model with deep learning at the crux of it. OpenAI has been continuously releasing new updates for its image generation tool, DALL.E-2 as well as the language generation models.
The outcome of the continuous learning and refinement to GPT-3.5 is GPT-4.
While retaining the capabilities of its predecessors, GPT-4 is also said to be a better problem solver. Moreover, it is also built with the potential to understand more complex inputs and deliver more accurate results thanks to its broader knowledge base.
As with the other GPT versions, this one is available as an API. You can either join the waitlist to access the API or get a taste of GPT-4 on ChatGPT Plus. (which is currently available at a monthly subscription price of $20). Another way is to sign up for the Bing Preview and experience the model through Bing Chat.
The internet is already flooding with samples of content created with GPT-4. Reactions from entrepreneurial geniuses like Elon Musk have grabbed even more eyeballs.
That’s just an overview of what GPT-4 is about. Let’s get into the details now, shall we?
How is GPT-4 different from ChatGPT?
The reasoning capabilities of GPT-4 are reportedly much better than ChatGPT. So, it can more efficiently tackle a wide range of complicated prompts. To be specific, the below are some of the most significant parameters that give GPT-4 a clear advantage over ChatGPT.
1. The buzzword here is ‘multimodality‘
One of the first and most evident differentiators between GPT-4 and ChatGPT is the former’s multimodality. ChatGPT is trained to accept text input. If you have used ChatGPT you know that you cannot add an image input, but yes you can add links to images available on the internet and get some basic answers based on them.
ChatGPT interprets some basic images but its inferences are not always on point. However, this gets drastically better with GPT-4.
GPT-4 is multimodal which means that you can give your input to the model in various formats and get your answers. In other words, you can provide an image-based input. GPT-4 does not just analyze and decipher what the image is about but also makes logical interpretations based on the image.
Here’s an example given by OpenAI for the applications of image-based input.
Other than this, a variety of logical reasoning applications can also be fulfilled with GPT-4’s multimodality. That’s a huge leap!
Another capability of GPT-4 is to dismantle an image to understand the nuances in it including the presence or absence of logic, or even say what seems to be out of place.
The below example explains this better:
OpenAI also shared several more examples of GPT-4 being able to analyze a graphical representation in an image and provide answers by interpreting the graph and the data in it.
In short, GPT-4 is built with a whole lot of image analysis and processing capabilities to augment the basic image recognition functions known to be part of most AI tools.
2. Larger volume in terms of text capabilities
While ChatGPT can generate around 3000 words of text GPT-4 takes is much more advanced and can create a much larger text output volume. GPT-4 is said to have the capability of generating up to 25,000 words.
With this difference also comes the change in the information retention capabilities of the tool that give them the ability to remember things said in past conversations. ChatGPT can reportedly reference up to 4000 tokens or 3000 words. But it’s much higher for GPT-4.
3. Language proficiency
GPT-4 is also leaps ahead of ChatGPT when it comes to linguistic capabilities. GPT-4 is said to be much more proficient and capable of delivering much more accurate responses in 26 different languages.
In addition to all this, based on the conversations that ChatGPT has had with millions of users from around the world, a lot of fine-tuning has been done to eliminate all the vulnerabilities pointed out in ChatGPT. Based on all the times when ChatGPT landed in a pickle with its biased responses to the times when some users tricked the tool into derailing from its content policies, the OpenAI team has added more security to GPT-4.
To understand the strengths of GPT-4 better, let’s also look at some examples shared by users who threw diverse prompts at the tool only to be mind-blown.
GPT-4 – 6 use cases you probably never thought of
1. Act as a virtual assistant
As you can see, sophisticated responses based on image inputs seem to be one of the game-changing features of GPT-4. The Virtual Volunteer tool by Be My Eyes is the perfect example that shows the kind of difference that these strengths of GPT-4 can make.
Designed for visually challenged users and people with vision problems, Virtual Volunteer powered by GPT-4 quickly answers based on images/objects in front of the user. Knowing what to cook and how can be as simple as clicking a picture of what’s inside the refrigerator only to have the tool suggest recipes and how to prepare them.
Translation, navigation – there’s a whole lot more that Virtual Volunteer manages to achieve thanks to GPT-4.
2. Or even write a book!
While people are cheering over being able to write social media captions and ad copies, GPT-4 has turned heads by writing an entire book! Popular entrepreneur Reid Hoffman took to Twitter to share a book he wrote with GPT-4. That truly changes the perspectives on AI.
3. Analyze documentation
You know sometimes there are pages of contracts and terms and conditions that you just don’t have the time to read? Or sometimes there is so much information that you miss critical details. GPT-4 can prevent these instances.
The below example shows the case where a user fed a live Ethereum contract into GPT-4 to scan for and identify potential security vulnerabilities.
In data-intensive realms like Blockchain and cryptocurrency, the fast and efficient language processing potential of GPT-4 can be a boon.
4. Build apps
One of the much-discussed topics, when ChatGPT was launched, was the tool’s ability to create code snippets and even analyze code snippets to identify errors. But GPT-4 extends this functionality and can write entire programs.
Here’s an example of where it helped build an app.
The user has also shared the process and the various revisions that went into the creation of this app.
Another example where GPT-4 created a game of Ping Pong reiterates the programming abilities of the model.
These examples show how programmers around the world can enhance their skills and work faster and smarter thanks to AI.
5. Eliminate expense errors in apps/programs
Similar to writing a program, GPT-4 can also be used to review a program and find gaps and errors in it in no time. This helps app developers spot and correct errors quickly before progressing to the next stage. As a result, expensive mistakes due to code errors can be avoided.
6. Create better conversations for a better customer experience
We keep talking about the many proficiencies of GPT-4 but we cannot forget that it is conversational AI at its heart. So, the most evident and also most relevant application of GPT-4 is improved conversational interfaces. Yes, you guessed it right. In case you are planning to refine your chatbot for better customer experience, faster prompts and more relevant responses, then GPT-4 makes that possible.
Incorporating GPT-4 into its already intuitive platform, Duolingo has introduced 2 features- Role Play and Explain My Answer. Both these come in handy for learners trying to practice their language skills. Thanks to GPT-4, the conversations sound much more human, making users feel like they are practicing with an actual human tutor.
Time to stop resisting and start accepting AI
There’s a lot happening. This can be overwhelming for business owners and marketers trying to keep up with the ever-changing world of content creation. Yes, people keep talking about AI snatching away jobs. But the benefits of harnessing the power of AI deserve their fair share of attention too.
Technology, as we know it, was once a threat to the human workforce but today it’s the way of life. This will probably happen with AI too. AI in marketing, AI design tools for quick and useful design inspiration, and several such applications keep proving how this technology can improve the productivity of the human workforce rather than try to replace it.
The year 2022 was a busy year for OpenAI and we are guessing 2023 will be no different. So, it’s time to start resisting AI and start accepting the many ways in which it can improve your infrastructure and workflow.