OpenAI has introduced ChatGPT Edu, a tailored version of its AI technology made for academic institutions to securely incorporate AI into various campus and academic operations.
The move comes after the effective use of ChatGPT Enterprise at recognized academic institutions, including Arizona State University, Columbia University in the City of New York, the University of Texas at Austin, the University of Oxford, and the Wharton School of the University of Pennsylvania. These organizations have set the stage for a wider adoption of AI in academia by using it to improve student learning and operational efficiency.
“We’re announcing ChatGPT Edu, a version of ChatGPT built for universities to responsibly deploy AI to students, faculty, researchers, and campus operations,” OpenAI said in its blog post announcing the new model. ChatGPT Edu is powered by GPT-4o. According to OpenAI, the new product has an affordable price tag for educational institutions and comes with enterprise-level security and controls.
As for the key features of ChatGPT Edu, users will have access to the company’s flagship model, GPT-4o, which is highly proficient in mathematics, coding, and text interpretation. Advanced features like web browsing, document summarization, and data analytics will be available to users. Additionally, the new model will enable the creation of GPTs, or personalized ChatGPT versions, and their sharing within university workspaces.
Compared to ChatGPT’s free version, ChatGPT Edu has much larger message limits. It also offers faster and higher-quality language support for over 50 languages. It is stated that the new model has strong administrative controls, data privacy, and security. Additionally, OpenAI has stated that no ChatGPT Edu conversation or data will be used to train OpenAI models.
Kyle Bowen, Deputy CIO at Arizona State University stated that “Integrating OpenAI’s technology into our educational and operational frameworks accelerates transformation at ASU. We’re collaborating across our community to harness these tools, extending our learnings as a scalable model for other institutions.”
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