The GPT-4 from OpenAI is slated to launch next week

The GPT-4 from OpenAI is slated to launch next week

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According to Microsoft Germany’s CTO, GPT-4, the eagerly awaited new big language AI model from ChatGPT-maker OpenAI, might be delivered the following week. The model is most likely several times more potent than its forerunner, bringing up new business applications for generative AI.

Microsoft has been a partner of OpenAI since 2019, when it invested $1 billion in the firm. After the success of ChatGPT, the AI-powered chatbot that has been sweeping the internet in recent months, Microsoft increased its share in the AI lab by several billion dollars in January.

While OpenAI CEO Sam Altman sought to downplay what the system would be able to achieve in an interview earlier this year when he warned it was likely to “leave people unsatisfied,” rumours about GPT-4 and its capabilities have been circulating for a while.

A week from now, GPT-4 will be released?

Andreas Braun, CTO at Microsoft Germany, declared that the system will soon be available at a speech in Germany.

Braun made the remarks in remarks initially published by German news site Heise. “We will present GPT-4 next week; there we will have multi-modal models that will give entirely fresh possibilities, for example movies,” Braun added.

Information may be gathered from a multitude of sources by a multi-modal LLM. This might make it more likely for it to use the data it discovers in online movies and pictures. OpenAI’s current LLM, GPT-3.5, is just text-based.

Kosmos-1, a model that can use data from text and visuals, was described earlier this month by Microsoft, which has previously been working with multi-modal AI models.

What information do we currently have about GPT-4?

GPT-4 may succeed in resolving ChatGPT’s issue of responding slowly to user-generated inquiries in addition to its multimodal capabilities. It is anticipated that the next-generation language model would respond considerably more rapidly and naturally.
According to rumours, OpenAI may also be developing a mobile application that uses GPT-4. Interestingly, ChatGPT does not yet have a mobile app and instead operates as a web-based language paradigm.
It is quite likely that GPT-4 will be utilised in Bing conversation even though Microsoft and OpenAI are being coy about using it in Bing search (perhaps because of the current controversy surrounding the search assistant).

Although Microsoft’s Bing search employs GPT-3 and GPT-3.5 together with a proprietary system called Prometheus to provide results rapidly while utilising real-time data, ChatGPT is developed on top of GPT-3.5.

The GPT-4 from OpenAI is slated to launch next week

Using artificial neural networks, ChatGPT is a chatbot that responds to inquiries in a manner reminiscent to a human. In November 2022, San Francisco-based OpenAI debuted the world’s most popular chatbot, which has since gone viral. Only two months after its inception, it just surpassed the milestone of 100 million active monthly users, although it took the well-known social media applications Tik Tok and Instagram about nine months and two and a half years, respectively, to reach the illustrious number.

The capacity of ChatGPT (and consequently GPT-3) to develop not just human languages but also computer languages is one of its most striking characteristics. This indicates that a range of programming languages, including Javascript, Python, and C++—three of the most often used in software development, web development, and data analytics—can be simply converted into computer code.

The news that OpenAI was aggressively seeking software developers and programmers, particularly those skilled at describing what their technology does in human language, leaked earlier this year. Because to this, many believe that GPT-4 and other upcoming products will push AI further farther in order to create new ground-breaking computer code. This may result in more potent iterations of programmes like Microsoft’s Github Copilot, which right now employs a tweaked version of GPT-3 to enhance its capacity to translate natural language into code.