Installation & Troubleshooting Guide for AI Tutorials

When setting up AI development environments, common issues often arise. Here's a quick troubleshooting checklist:

1. Dependency Conflicts

   • Use pip check to identify conflicting packages
   • 🛠️ Visit our dependency management tutorial for advanced solutions
   

2. CUDA Compatibility

   • Verify your NVIDIA driver version matches CUDA requirements
   • ⚠️ If encountering errors, check the CUDA installation guide
   

3. Environment Variables

   • Ensure PYTHONPATH includes your project directory
   • 📁 Check our environment setup documentation for proper configuration
   

4. Permission Issues

   • Use sudo for package installations when needed
   • 🔐 Review our security best practices for system permissions
   

For deeper insights into installation challenges, explore our AI development fundamentals section.