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@tom_doerr: Structured roadmaps for AI, ML, and LLM learning https://github.com/bishwaghimire/ai-learning-roadmaps…

X AI KOLs Timeline · 2d ago Cached

A comprehensive, open-source GitHub repository providing structured learning roadmaps and curated resources for mastering AI, machine learning, deep learning, and large language models from beginner to advanced levels. Designed for students and professionals, it covers foundational concepts, programming frameworks, career tracks, and emerging AI topics.

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#ai-learning

New ways to learn math and science in ChatGPT

OpenAI Blog · 2026-03-10 Cached

OpenAI announced new interactive visual explanations in ChatGPT for learning math and science concepts, covering over 70 core topics that allow users to manipulate variables and see real-time effects on graphs and formulas. The feature is available globally across all plans and builds on previous educational tools like study mode and quizzes.

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#ai-learning

Understanding AI and learning outcomes

OpenAI Blog · 2026-03-04 Cached

OpenAI has developed the Learning Outcomes Measurement Suite, a framework created with University of Tartu and Stanford's SCALE Initiative to measure how AI impacts student learning over time through longitudinal studies. The suite addresses gaps in current research methods that focus narrowly on test scores and will be released as a public resource for schools and universities worldwide.

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#ai-learning

Introducing study mode in ChatGPT

OpenAI Blog · 2025-07-29 Cached

OpenAI introduces study mode in ChatGPT, a new learning feature that uses guided questioning and pedagogical principles to help students understand concepts through active engagement rather than just receiving answers. The feature is available to Free, Plus, Pro, and Team users, with ChatGPT Edu support coming soon.

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#ai-learning

Learning a hierarchy

OpenAI Blog · 2017-10-26 Cached

OpenAI research proposes hierarchical reinforcement learning where agents break down complex tasks into sequences of high-level actions rather than low-level ones, significantly improving efficiency for long-horizon tasks by reducing search complexity from thousands of steps to dozens.

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