GPT-4 :The world has been exploring the possibilities of artificial intelligence (AI) since the 1950s, a period in which the mathematician Alan Turing laid the foundations of the discipline with his article ‘ Computing Machinery and Intelligence ‘.

Yet in seven decades of development, the widespread feeling that AI is advancing by leaps and bounds has never been stronger One of the contributors to this reality is OpenAI’s conversational chatbot, ChatGPT.

At the heart of this powerful tool is GPT-3.5, one of the most advanced autoregressive language models. And its capabilities are in plain sight: it holds conversations in natural language, understands the context, and generates texts of all kinds.

If GPT-3.5 has surprised us, making us feel that feeling when we used the Internet for the first time, GPT-4, the next evolution of this language, promises to make a dramatic leap in its capabilities. And this evolution is already among us.

What is GPT-4?

GPT-4 is the name of the latest pre-trained language model from OpenAI, an artificial intelligence research company that has previously released older versions of the model. GPT (2018), GPT-2 (2019), GPT-3 (2020) und GPT-3.5 (2022).

GPT-4 capabilities are directly related to language and its multimodal essence. You are expected to be able to perform tasks such as text generation, summaries, translation, answering complex questions, and much more with astonishing accuracy.

The most notable leap in this new version of GPT comes with its ability to achieve ” human performance ” in some scenarios. Your responses and interactions are more accurate and consistent, which scores points when it comes to performing in a wide variety of domains.

How does GPT-4 work?

GPT-4, like the previous models, by itself, is a language with the potential to be exploited in different systems. For example, GPT-3 has been implemented in commercial applications such as the text editors Jasper Ai and Canva Docs..

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GPT-3.5, the version responsible for popularizing advanced conversational chatbots, has surprised us with ChatGPT. GPT-4 could go beyond writing assistants, machine translation, and chatbots, reaching voice assistants and even search engines.

Internally, GPT-4 has been trained with datasets with large amounts of data that will help it learn and generate language similar to that used by humans. Behind other models of the company is a processing technique known as “Transformer”.

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The objective of this architecture, presented by Google in 2017, is to innovate in the implementation of layers that allow the model to be adapted to be effective and efficient in different tasks. OpenAI, in its GPT models, has used it to implement several layers.

The Transformer architecture, through its layers, converts each word into a numeric vector that allows the model to process the text mathematically, is responsible for processing it through a neural network, and “pays attention” to understand it.

With GPT-3.5 I have the same feeling as when I used the Internet for the first time as a child.

With GPT-3.5 I have the same feeling as when I used the Internet for the first time as a child.

But it’s not just about layers. A large number of parameters are also involved in GPT models. These are are modeled during the machine learning process and are theoretically directly related to model performance and accuracy.

The head of OpenAI, Sam Altman, for his part, has tried to reduce the expectation that the expected new model is generating. Speaking at the StrictlyVC event he said: “People are crying out to be let down, and that’s what will happen.”

How is it different from GPT-3?

According to the OpenAI documentation, GPT-3 has 12 layers and 175 billion parameters. The main difference between the latest OpenAI model and its evolution, according to Wired, could be in the parameters. GPT-4 may have been trained on 100 trillion parameters, almost 600 times more than its predecessors.

It should be noted that OpenAI has been very cautious in refusing to provide an estimate of the number of parameters used in GPT-4. Some experts suggest that the evolution of the model has not necessarily been achieved by increasing the number of parameters. A major limitation would be the computing capacity needed to grow in this regard, which costs millions of dollars per hour.

Another big difference is its “multimodal” nature. Instead of working solely with text, GPT-4 will also be able to accept images as input. That is, we can upload images to give indications visually. Of course, the results will always be presented to us in textual format.

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In addition, the model takes a huge leap in performance. To measure his abilities, the company exposed him to tests designed specifically for humans, but without making specific adjustments to pass them. As he points out in a white paper, GPT-4 passed the tests successfully, getting better results than GPT-3.5.

When will this new model be released?

OpenAI quietly introduced GPT-3.5 in November 2022 with the release of ChatGPT.On March 14, 2023, GPT-4 has been officially announced by the artificial intelligence company.

Does Bing work with GPT-4?

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In early February, Microsoft revamped Bing with a new search engine and chat feature using a combination of proprietary and OpenAI technologies to go head-to-head with Mountain View giant Google. The question after the presentation event was whether we were finally seeing GPT-4 in action. Indeed this question has been answered. Indeed, Bing works with GPT-4.