Introducing the OpenAI Academy

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Summary

OpenAI launched the OpenAI Academy to support AI developers and organizations globally through education, resources, and community-building initiatives. The program builds on OpenAI's existing support efforts, including funding for impact projects and the publication of the MMLU benchmark translated into 14 languages.

New initiative will fuel innovation by investing in developers and organizations leveraging AI, starting in low- and middle-income countries.
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# Introducing the OpenAI Academy Source: [https://openai.com/global-affairs/openai-academy/](https://openai.com/global-affairs/openai-academy/) This initiative builds on OpenAI’s long\-standing support for AI developers and organizations working on the front lines, and we'll be sharing more details soon about how to access the Academy's resources\. Over the past year, we've seen first\-hand that investing in AI education, resources, and community\-building can have an outsized impact\. For example,[KOBI⁠\(opens in a new window\)](https://kobiapp.io/en/), the winner of the OpenAI prize at[The Tools Competition⁠\(opens in a new window\)](https://tools-competition.org/openai-learning-impact-prize/), uses AI to help students with dyslexia learn to read\.[I\-Stem⁠\(opens in a new window\)](https://www.inclusivestem.org/), one of the winners of the[turn\.io Chat for Impact contest⁠\(opens in a new window\)](http://turn.io/), uses AI to enhance access to inaccessible content designed to help blind and low\-vision communities in India find meaningful employment\. OpenAI has provided API credits and technical guidance to support the winning organizations and the dozens of others working to address global challenges\. To further support developers around the world, OpenAI also funded and[published⁠\(opens in a new window\)](https://huggingface.co/datasets/openai/MMMLU)a professional translation of the[Massive Multitask Language Understanding \(MMLU\) benchmark⁠\(opens in a new window\)](https://cdn.openai.com/o1-system-card.pdf), a measure of general AI intelligence, into 14 languages: Arabic, Bengali, Chinese, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Portuguese, Spanish, Swahili, and Yoruba\. Supporting those who understand the unique cultures, economies, and social dynamics of their communities will help ensure that AI applications are tailored to meet local needs\. Developers and organizations are key to making artificial intelligence more widely accessible and enabling people around the world—regardless of where they live or what language they speak—to use the technology to solve hard problems\.

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