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Microsoft Announces GPT-4 is coming next week

Andreas Braun, the CTO of Microsoft Germany, has announced that GPT-4 will be released within a week of March 9, 2023. The latest version of GPT-4 will be multimodal, meaning it can process multiple types of input, including video, images, and sound.

As of now, it is not officially announced how many parameters GPT-4 will have. It is expected to have significantly more parameters than its predecessor, GPT-3, which has 175 billion parameters. Some experts predict that GPT-4 could have anywhere from 500 billion to a trillion parameters. However, we will have to wait for an official announcement to know for sure.

Language models have come a long way in recent years, with advances in artificial intelligence (AI) and natural language processing (NLP) leading to the development of larger, more powerful models. One such model is GPT-4, which Microsoft recently announced will be released soon. In this blog post, we’ll take a closer look at GPT-4, its capabilities, and what it means for the future of AI.

Large Language Models as Game Changers

Large language models like GPT-4 can teach machines to understand natural language, a significant breakthrough in the field of AI. Machines can now understand what was previously only readable and understandable to humans. The technology is so advanced that it works in principle in all languages. You can ask a question in German and get the answer in Italian. This has significant implications for the way we interact with machines and the potential applications of AI in various industries.

Read More: How ChatGPT works?

Multimodal Capabilities of GPT-4

One of the exciting things about GPT-4 is its multimodality, which offers completely different possibilities, including videos. Andreas Braun, CTO of Microsoft Germany, mentioned this during a speech on the possible applications of AI and ChatGPT. Multimodality is the ability of a machine to process multiple forms of input, such as text, images, and video. The benefits of multimodality for companies are significant, including more effective communication, improved user experiences, and better data analysis. With the addition of multimodal capabilities, GPT-4 is set to advance the field of AI and natural language processing even further.

Disruption and Value Creation Potential of AI

Marianne Janik, Managing Director of Microsoft Germany, spoke about the disruption caused by AI in companies during the “AI in Focus – Digital Kickoff” event. She emphasized the value creation potential of AI and spoke of a turning point in the current AI development and ChatGPT, describing it as “an iPhone moment.” While there are concerns about job loss due to AI, Janik believes that traditional job descriptions will change and new, exciting jobs will arise through enrichment with the latest opportunities. Companies should set up internal competence centres to train employees on how to use AI and pool ideas for projects.

Democratization of AI and Data Privacy

Janik also spoke about the democratization of AI, which means the immediate usability of the models within the Microsoft product range, in particular their wide availability through the integration of AI in the Azure platform, in Outlook and Teams. She clarified that Microsoft does not use customer data to train models, highlighting the importance of data privacy and ethical considerations in the development and use of AI. As AI becomes more widely available and accessible, it is crucial to ensure that it is developed and used responsibly and ethically.


The announcement of GPT-4 and its multimodal capabilities is a significant development in AI and natural language processing. The potential applications of AI in various industries are vast, and the benefits of multimodality are significant.

While there are concerns about job loss, the value-creation potential of AI cannot be ignored. Companies should prepare for the changes that AI will bring by training employees and setting up internal competence centres. As AI becomes more widely available, it is essential to ensure that it is developed and used responsibly and ethically.

Noor Ahmad Haral

Passionate Machine Learning Engineer interested in Tech innovations, GPT, Blogging and writing almost everything.

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