TERMS OF SERVICE

1. Acceptance of Terms

By accessing or using DataScienceTutor.cloud ("the Platform"), you agree to be bound by these Terms of Service. If you disagree with any portion of these terms, you must refrain from using the platform.

2. Educational Purpose & AI Disclaimers

DataScienceTutor.cloud is an interactive educational tutor designed to teach PyTorch and Deep Learning engineering via 7-step guided roadmaps and AI code evaluation.

• Code critique is generated using DeepInfra Qwen 2.5 Coder and static AST evaluation. While highly accurate, AI feedback is provided "as is" for learning purposes.
• Algorithms and model weights trained inside the interactive terminal are intended for educational and prototyping use.

3. Acceptable Use Policy

You agree not to:

• Attempt to reverse-engineer, overwhelm, or inject malicious payloads into the AI inference API.
• Bypass rate limiters or authentication guards through automated scripting or botnets.
• Use the terminal for unauthorized computational workloads or cryptocurrency mining.

4. Intellectual Property

You retain all intellectual property rights to the custom Python code and neural network architectures you write on DataScienceTutor.cloud. The platform UI, gamification engine, branding, and proprietary tutor roadmaps remain the intellectual property of vaalker.