<div><strong>Open Access AI for Education: Teach Anything,</strong> <a href="https://www.teachanything.ai/" target="_blank" rel="noreferrer noopener"><a href="https://www.teachanything.ai/" target="_blank" class="" rel="nofollow noopener noreferrer">https://www.teachanything.ai/</a></a>
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<div>Support <a href="https://www.teachanything.ai/" target="_blank" rel="noreferrer noopener">Teach Anything</a>, an open-source, open-access, multilingual AI infrastructure built by educators for educators. Using our open-access platform, educators without technical knowledge can build and deploy custom-trained chatbots for teaching, fully controlling the training data and AI's behaviors to align with educational goals.
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<div>Teach Anything is a registered 501(c)(3) non-profit organization. Donations are tax-deductible. Our organization is incorporated in Washington, D.C., in the U.S.A.
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<div><strong>Donors have front-row seats</strong>
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<div>Donate to support this open-access project to become beta-testers, be the first to learn of new features, and stay in the loop. All donations go towards the project's cloud computing costs ($150-300 per month).
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<div><strong>Vision for Open Access</strong>
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<div>Professors can upload their lectures and course material, write background system prompts, and to train custom, open access AI chatbots for their students. Professors can choose from among several open-source large language models (LLM).
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<div>Students can use the intuitive AI assistant without needing to login or wrestle with misinformation that is prevalent in commercial general-purpose AI and even Internet searches.
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<div>Backed by peer review and rigorous research, Teach Anything is an open-access system specifically designed for teaching and learning. The innovation of this project lies in its infrastructure. This is not one application but an open-access platform that supports numerous applications.
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<div><strong>Comparison between Open-Access &amp; Commercial AI</strong>
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</div><img alt="" media_type="3" src="https://d2g8igdw686xgo.cloudfront.net/97818329_176558008879595_r.jpeg" width="100%" />
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<div>This open-access vs commercial AI
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<div><strong>Funding History</strong>
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<div>Currently, this open-access project relies on donation and its community of forward thinkers and passionate students.
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<div>The project’s earlier phase was supported by George Mason University, Washington Research Library Consortium, Public Interest Technology Scholar program, the NSF Institute for Trustworthy AI in Law &amp; Society, and George Washington University.
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<div><strong>Cost Breakdown</strong>
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<div>$40, hourly wage for graduate student developer, ongoing
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<div>$185 per month for cloud computing:
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<li>Supabase, open-source backend service, $ 30 / month
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<li>Vercel, cloud platform for web interface, $ 30 / month
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<li>OpenRouter, inference service for multiple open-source LLMs, $ 50 / month
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<li>Resend, email service platform for communication, $ 20 / month
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<li>Upstash Redis to store &amp; analyze files uploaded by professors, $ 30 / month
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<li>OpenAI to index uploaded files, $10 / month
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<li>Upstash Qstash to handle calls to open-source LLMs and “chat” functionality, $ 15/ month
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<div><strong>More info</strong>
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<div>Dr. Alexa Alice Joubin's <a href="https://youtu.be/9hxBziNuf0k?si=Frbn0ZHVOc5Saq6S&amp;t=294" target="_blank" rel="noreferrer noopener">demo of AI Alexa</a> at the Summit for AI Institutes Leadership 2025
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<div>Dr. Alexa Alice Joubin <a href="https://youtu.be/z6V-ewxAD9M?si=o_KDOcKaxWaoX0qX&amp;t=15" target="_blank" rel="noreferrer noopener">TED-style talk on open culture and AI</a>
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Heather Young Durick

David Silberman

Anonymous

Hans-Martin Jaeck

Empower Educators with Open-Access AI

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