OpenAI may still seem like your average artificial intelligence (AI) machine learning company, but it stands as a heavyweight for a reason. The next major innovation was released in May this year, an advanced version of the GPT-3, called the GPT-4o multimodal AI model. The ‘o’ represents ‘omni’ which when simply
translated to English means ‘all’. However, when it comes to this guide, we aren’t be concerned with how the GPT-4o can perform all these. What results did we get only from GPT-4o and not from the previous version of the company’s model, GPT-4?
The Five Biggest Things That GPT-4o Can Do, But GPT-4 Can’t
GPT-4o and GPT-44 have many similarities ranging from the way they are designed up to the operations they perform. For instance, their data stopped analyzing in October 2023. Both models also have the same 128,000 token window. This window also supports detailed and extensive discussions. But what these conversations look like is what defines what it would be like.
#1 – GPT-4o Can Tackle Different Types of Data More Efficiently
OpenAI may still seem like your average artificial intelligence (AI) machine learning company, but it stands as a heavyweight for a reason. The next major innovation was released in May this year, an advanced version of the GPT-3, called the GPT-4o multimodal AI model. The ‘o’ represents ‘omni’ which when simply
translated to English means ‘all’. However, when it comes to this guide, we aren’t be concerned with how the GPT-4o can perform all these. What results did we get only from GPT-4o and not from the previous version of the company’s model, GPT-4?
#2 – GPT-4o Can Respond Much Faster
Of course, speed is one of the biggest improvements in the new GPT-4o release. And we are not even talking about multimodal queries for this – the final 30 percent. The considered GPT-4o is capable of completing any task much more efficiently than GPT-4. Furthermore, GPT-4o is twice as fast compared to its previous version according to Op enAI.
I mean, you could go ahead and ask – why haven’t I divided it as I was typing it instead of making it faster and taking the quality away from it? In that, you might be right. But do not worry about this with GPT-4o. The responses which are generated by this model are quick as well as accurate. Truly a win-win scenario.
#3 – GPT-4o Can Understand Context Better
Another big weakness of GPT-4 is the given model’s drawback of identifying context. It makes users oversimplify to the extent of giving the barest basics of information as a way of covering the mark. But even in this kind of question, GPT-4 rarely gets it right. But not GPT-4o.
This model also appears to have a higher contextual understanding than GPT-4 in this use case. It means that it should not have problems with such things as metaphors, idioms, and even cultural implications and alliterations. As with the previous techniques, GPT-4o will be able to analyze all the small nuances and provide answers that will complement the environment seamlessly.
#4 – GPT-4o Can Support More Languages
There is no doubt that the use of artificial intelligence has lost the barriers of state borders long ago. GPT-4o has followed suit.
This needs to provide a lot more support for non-Euro-American languages, particularly those that don’t use the Latin script (such as Hindi, Chinese, and Korean).
The language capabilities of GPT-4o are also superior – it can communicate in 50 languages. That is exactly what global communication is all about.
#5 – GPT-4o Can Respond in a Natural Voice
It is very ironic that, when it comes to GPT-4o, it is extremely far from anything robotic. This is even true for the audio feedback it offers When the bot results to offering an audio feedback, one is supposed to download the audio as the website does not facilitate an in-built player.
GPT-4o can also engage with you in the closest way to mimicking a human voice. Furthermore, as the sites enjoy an average response time of 320 ms, these responses hardly take any time at all. However, that’s not even the finest part.
Of course, the model can also add an emotional angle to what it is saying. It can also be seen that GPT-4o can switch between its tones depending on the context offered. This makes it proper for use when in personal talk like the therapies’ sessions.
The other component of GPT-4 is the speech component. Though the overall rating is much lower: 3.5/5 and the average response time reaches 5.4 seconds. It also incorporates several models to write and speak and in the process loses information – and emotion. In other words, there is nothing realistic in communicating with GPT-4. Regarding GPT-4o – it is amazing as if one shared a conversation with another person.
