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Virtual Agents for Inquiry-based Learning + Feynman Technique
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The Virtual Agents for Inquiry-based Learning system, enhanced with the Feynman Technique, is a dynamic, AI-driven educational framework. It comprises a Conductor agent and specialized student agents, designed to facilitate deep learning and understanding.
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Code Tutor Enhanced: An advanced AI programming assistant that employs a triple methodology for efficient learning: First Principles for breaking down complex problems, the Feynman Method for clear explanations, and Inquiry-Based Learning for deeper exploration and understanding.
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The Prompt Assistant enhances user inputs: prompts are clear, comprehensive, and well-structured, leading to improved interactions and responses from the LLM.
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Code Tutor for beginners that uses Feynman method and First principles thinking
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Tree of Thought Advanced and Problem-Solving Agent System Framework: Virtual Agents for Advanced Problem-Solving + Tree of Thought Technique Conductor
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The key focus of "Elon's Agents" is to bridge the intellectual gap between Elon Musk's exceptional problem-solving abilities and the average person's capabilities. The goal is to enhance human intelligence by guiding users through the process of understanding basic principles.
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Virtual Classroom for Inquiry-based Learning + Feynman Technique
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AI assistant with the book Eloquient Javascript. Support learners with "Eloquent JavaScript." Our mission: make complex concepts accessible and keep learners motivated.