OpenAI expands o1 AI models to ChatGPT Enterprise, ChatGPT Edu users

AI is getting deployed by businesses to help them reason, refine strategies, and detect errors
An undated image. — Adobe Stock
An undated image. — Adobe Stock

Less than a month after Anthropic launched Claude Enterprise plan to challenge OpenAI's dominance, OpenAI has shown the ace card, widening the availability of its latest AI models, o1-preview and o1-mini, to all ChatGPT Enterprise and ChatGPT Edu customers. 

Made to deal with perplexing rationale, OpenAI's o1 models are set to transform the way organisations and academic institutions cop with challenges ranging from advanced coding to scientific research. 

OpenAI announced these these models earlier this month, which by copying human thought processes can do what previous iterations of AI models failed at: solving problems that require deep, multi-step reasoning. 

How OpenAI's o1 models help businesses grow

Owing to their human-like reasoning capacity, these AI models mark a huge leap from OpenAI while extending an automated helping hand to businesses including those of finance, healthcare and countless other sorts. 

Not only is AI getting deployed by businesses for the sake of automation, but also to help them reason, refine strategies, and detect errors. This is something where human ability is supposed to be limited. 

Here's how OpenAI's o1 models benefit in educational

When it comes to research and data analysis, the two most crucial and time-consuming phases of education and academia, the o1 models stand to be immensely fruitful for academic institutions as they are often bound by resource and time constraints. 

The expansion of o1 models to ChatGPT Edu users will make it easier for intellectuals to access the pinnacle of cutting-edge AI and resolve some of the most commonly encountered problems in their respective fields. 

The most recent and credible testimony of o1's capability to help students and educationists is a review shared on X (formerly Twitter) by Dr. Kyle Kabasares, an astrophysicist at the Bay Area Environmental Research Institute, stating that: “accomplished in 1 hour what took me about a year during my PhD.”