Snorkel AI
Prompted complex questions that LLM models could not solve while providing a detailed solution using appropriate markdown and latex symbolling.
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Renaissance of American Physics and Astronomy (RAPCorp) is a 501(c)(3) nonprofit headquartered in Gravity, Iowa, on a mission to democratize physics and astronomy education through AI-driven technology and applied research. We offer AI-powered science tutoring, research simulations, and R&D across eight domains: AI Agents, Humanoid Simulations, Drone Modeling, Gamma-ray Research, Quantum Computing, Semiconductors, Laser Technology, and Stock Market Simulation. Our AI Science Tutor (tutor.rapcorp.us) features RPG gamification and multilingual access, with an Assignment Portal launching summer 2026. We serve defense, aerospace, STEM education, quantum sciences, and AI engineering sectors. Our team brings expertise in military intelligence, Lockheed Martin engineering, and astrophysics research. Infrastructure is built on Google Cloud Platform and Firebase with enterprise-grade security practices. Achievements include Google Startup status, a Google Ads Grant, NVIDIA Inception Program membership, a Zazmic partnership. Our work engages universities, STEM educators, defense-adjacent institutions, and federal stakeholders.
RAPCorp's platforms are built on Google Cloud Platform and Firebase, leveraging Google's enterprise-grade security infrastructure including encrypted data transmission, secure authentication, and role-based access controls. We follow strict API key lifecycle management practices, with regular credential rotation and access auditing across all integrated services. Sensitive user and organizational data is handled in accordance with applicable privacy standards, and our systems are designed to minimize data exposure through least-privilege architecture. As a Google Startup and NVIDIA Inception Program member, our development practices align with the security expectations of leading technology partners. Internal access to production systems is restricted to authorized personnel, and security reviews are conducted as part of our ongoing development process.
Prompted complex questions that LLM models could not solve while providing a detailed solution using appropriate markdown and latex symbolling.
I wrote complex prompts involving physics/math/coding, evaluated model responses, graded my fellow physics and math experts’ work, and cultivated the ideal response using Markdown and LaTeX. The evaluation portion entailed the highlighting and explaining the committed errors and offering suggested fixes.