Our first class ofOpenAI Scholars(opens in a new window)is underway, and you(opens in a new window)can(opens in a new window)now(opens in a new window)follow(opens in a new window)along(opens in a new window)as(opens in a new window)this(opens in a new window)group(opens in a new window) of experienced software developers becomes machine learning practitioners. We had over 700 applicants for the 8 OpenAI Scholars slots and reviewed each application on a standardized list of criteria for maximal fairness. We hope this group inspires many other developers to make the transition to machine learning too.
OpenAI Scholars began their studies on June 1st, blogging weekly about their progress and culminating in an open-source final project. The scholars have written aboutmodel-based RL(opens in a new window),audio classification with softmax(opens in a new window),deep learning in simple English(opens in a new window), thek-nearest neighbors algorithm(opens in a new window), andattention(opens in a new window).
We selected Scholars with strong technical aptitude, interesting personal stories, and demonstrated self-starter initiative - important for a self-directed program like this one. They are all entering the field as newcomers, and we hope their progress shows how accessible machine learning is. After this first round of the Scholars program is complete, we’ll share their final projects, in addition to a case study about the program.
Thanks to AWS for providing compute credits to the scholars.
Larissa Schiavo, Greg Brockman
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