Microsoft Germany announced plans to launch GPT-4 as early as next week at an event titled “AI in Focus – Digital Kickoff” on Thursday. GPT-4 lets you create AI-generated videos and other types of content from a simple text request (via the German news site Heise).
Andreas Braun, Chief Technology Officer (CTO) at Microsoft Germany and Lead Data & AI STU, said at the event that GPT-4 was imminent and “multimodal.”
“We’re launching GPT-4 next week, where we’ll have a multi-modal model that offers completely different possibilities — video, for example,” Brown said.
GPT-4 is the next iteration of OpenAI’s Large Language Model (LLM), which the CTO describes as a “game changer.”
Currently, ChatGPT is powered by AI and other GPT 3.5-powered technologies, and Bing Chat only allows text input for user interaction and also displays all responses and results in text form.
However, this may change soon with the multimodal LLM model that Microsoft supports. The release of GPT-4 could pave the way for users to interact with various media such as text, images, sound, and even video.
“Meanwhile, the technology is so advanced that it ‘works in all languages’: you can ask a question in German and get an answer in Italian.” With multimodality, Microsoft (-OpenAI) wants to “make the model comprehensive,” added Brown.
Earlier this week, Microsoft announced that ChatGPT OpenAI is now available for preview on the Azure OpenAI service.
“With ChatGPT in the Azure OpenAI service preview, developers can now build custom AI-powered experiences right into their applications, including enhancing existing bots to handle unexpected queries, summarizing call center conversations to provide faster customer support resolutions, enabling and creating new ad copy with personalized offers, automate claims processing, and more,” Microsoft said in a statement.
“Cognitive services can be coupled with Azure OpenAI to create compelling enterprise use cases. For example, see how Azure OpenAI and Azure Cognitive Search can combine to use conversational language to find knowledge in enterprise data.”
