education

OpenAI has launched and is scaling the OpenAI Academy, an online hub featuring educational content and in-person AI literacy workshops developed in partnership with educational institutions, workforce organizations, and nonprofits to make AI education accessible to broader communities.

OpenAI and Estonia's government announced a partnership to provide ChatGPT Edu to all secondary school students and teachers, starting with 10th and 11th graders by September 2025, as part of Estonia's AI Leap 2025 initiative to integrate AI into education systems.

Phil Birchenall created a custom GPT powered by ChatGPT to help his 12-year-old daughter Daisy with math struggles by giving the AI tutor the personality of their dog Izzy, resulting in an engaging and effective learning tool.

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.

Arco Educação, Brazil's largest educational operating system, is partnering with OpenAI to launch the Teacher Assistant, an AI tool powered by GPT-4 that helps teachers create personalized lesson plans for students with diverse learning needs, significantly reducing time spent on administrative tasks and lesson planning.

Arizona State University integrates ChatGPT Edu across teaching, research, and operations, launching an AI Innovation Challenge that received over 400 proposals from faculty and staff to enhance personalized learning and student outcomes.

OpenAI hosted a webinar on August 26, 2024, focused on fine-tuning GPT-4o models for business applications.

OpenAI launches ChatGPT Edu, an affordable offering designed for universities to deploy AI across campus at scale, featuring GPT-4o access, custom GPT building, advanced analytics, and institutional security controls.

Zelma, a GPT-4 powered research assistant developed by Dr. Emily Oster and her team at Brown University in partnership with Novy, makes standardized test data accessible to parents, teachers, administrators, and policymakers by allowing natural language queries about student performance across districts and demographics.

Machine Learning @ Berkeley has launched a new high school workshop initiative called GREP to make machine learning education more accessible and inclusive for students of all backgrounds.

Khan Academy is partnering with OpenAI to integrate GPT-4 into its educational platform to enhance student learning through deeper conceptual understanding and personalized tutoring, while also helping teachers create customized instructional materials and track student progress.

OpenAI has released a preliminary AI text classifier designed to help identify AI-written content, with a focus on supporting educators, journalists, and misinformation researchers. The tool comes with acknowledged limitations and is accompanied by an educational resource for teachers on ChatGPT's uses and constraints.

OpenAI Scholars 2020 program concluded with final projects investigating GPT-2 grammar representation, model interpretability, and medical applications like epileptic seizure prediction. The program provides stipends and mentorship to underrepresented groups in machine learning.

OpenAI announces the 2020 Scholars program, a remote fellowship for underrepresented groups in AI and engineering with 2+ years of software engineering experience. Applications are open to eligible candidates in US timezones with work authorization.

OpenAI Scholars 2019 program concludes with eight scholars completing final projects showcased at Demo Day, demonstrating how professionals from various fields can transition into machine learning through education and mentorship.

OpenAI announces the completion of its Fall 2018 Fellows program and celebrates the fellows' research contributions. The organization also open-sourced part of the fellowship curriculum, including 'Spinning up in Deep RL,' an educational resource for learning reinforcement learning.

OpenAI announces its 2019 class of eight Scholars selected from 550 applicants, bringing diverse expertise from literature, philosophy, biology, and other fields to apply toward AI research projects in reinforcement learning and NLP.

OpenAI held its first Spinning Up in Deep RL Workshop on February 2, engaging ~90 in-person participants and ~300 livestream viewers to provide education in deep RL, robotics, and AI safety through talks, mentorship, and hands-on projects.

OpenAI announced the completion of its first Summer 2018 Fellows cohort, where six machine learning apprentices transitioned to core contributors through a 6-month program. The announcement highlights their research projects, several fellows joining OpenAI full-time, and the open-sourcing of their introductory curriculum including the "Spinning up in Deep RL" tutorial.

OpenAI released 'Spinning Up in Deep RL,' an educational toolkit featuring introductory materials, curated paper lists, and clean standalone implementations of key RL algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC) designed to help newcomers learn deep reinforcement learning from scratch.