
OpenAI’s GPT-4, the latest version of their language model, has been highly anticipated by those in the artificial intelligence industry. It was originally expected to be released in the first half of 2023, but Microsoft, one of OpenAI’s main investors, has recently confirmed that it will be unveiled next week. This news has sparked excitement and curiosity about what GPT-4 has in store for us.
While many of the technical details are being kept under wraps until the official announcement, Microsoft has revealed one key detail: GPT-4 will be a multimodal language model. This means that it will be capable of interpreting both text and images, unlike the previous version that only generated text. With GPT-4, it will be possible to generate not only text but also images and even videos.
Andreas Braun, director of technology at Microsoft Germany, has described GPT-4 as a game changer for the AI sector. He believes that the model will take a step closer to the capacity of human interpretation, although it still has a long way to go to match it. This is because GPT-4 will be able to interpret and generate different types of data, including text, images, and videos.
Another advantage of GPT-4 as a multimodal language model is that it will be able to handle the input and output of data in different languages. This means that, for example, a request could be made in Spanish, but the generated text could be in English. This novelty would also be of great help for translation tools.
Microsoft is also keen to emphasize that GPT-4 is not here to replace human workers but to enhance their capabilities. They recommend that companies train their employees to adopt artificial intelligence in their work life, as traditional job descriptions are changing. New and exciting professions are emerging as a result of the enrichment of new possibilities offered by AI.
In conclusion, GPT-4’s multimodal capabilities make it an exciting development in the field of artificial intelligence, offering new possibilities for text, image, and video generation, as well as language interpretation. Its potential to enhance rather than replace human work is also a positive step forward in the integration of AI into our daily lives.