OpenAI announces GPT-4, says its latest AI model is ‘multimodal’

OpenAI announces GPT-4, says its latest AI model is 'multimodal'

OpenAI, the company behind the ChatGPT chatbot phenomenon, announced that it is starting to make available GPT-4, a potent artificial intelligence model, paving the way for the development of ever more human-like technology.

The Microsoft-funded business claimed in a blog post that its most recent technology is “multimodal,” meaning it can generate material in response to visual and textual cues. The image input functionality is still a preview of its study. At the same time, the text-input features will first be made accessible to ChatGPT Plus users and software developers with a waitlist.

“We’ve created GPT-4, the latest milestone in OpenAI’s effort to scale up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs and emitting text outputs). While less capable than humans in many real-world scenarios, it exhibits human-level performance on various professional and academic benchmarks,” OpenAI wrote in its blog.

The much-awaited launch demonstrates how office workers may use ever-improving AI for even more jobs and how technology companies are engaged in a fierce battle to gain business from such advancements.

OpenAI GPT-4 in more creative and collaborative

“GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style,” OpenAI wrote on its website.

OpenAI has partnered with several businesses to include GPT-4 in their products, including Duolingo, Stripe, the Government of Iceland, Morgan Stanley, and Khan Academy.

The system underwent six months of safety training, according to OpenAI. In internal tests, it was 80% less likely to reply to requests for disallowed content and 40% more likely to deliver accurate responses than GPT-3.5.

“GPT-4 still has many known limitations that we are working to address, such as social biases, hallucinations, and adversarial prompts. We encourage and facilitate transparency, user education, and wider AI literacy as society adopts these models. We also aim to expand the avenues of input people have in shaping our models,” the website added.


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