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Quick Tour 🚀

Welcome to Steev! This guide will help you get started with our AI-powered training assistant.

Getting Started 🎯

After installing Steev, you can start using it with a simple command:

steev run train.py

Need to customize training parameters? No problem! Use the --kwargs flag:

steev run train.py --kwargs "learning-rate=0.001 batch-size=32"

💡 Pro tip: You can use shorthand arguments too: 

steev run train.py --kwargs "lr=0.001 bs=32"

What Happens Next? 🔄

When you run Steev, it springs into action with three main phases:

1. Code Review & Analysis 🔍

  • ✅ Analyzes your training code
  • ✅ Reviews configurations and dependencies
  • ⬜️ Provides smart suggestions for improvements

2. Training Supervision 📊

  • ✅ Monitors training metrics in real-time
  • ✅ Detects and alerts you about anomalies
  • ⬜️ Manages computational resources efficiently
  • ⬜️ Automatically adjusts parameters when needed

3. Optimization & Results 🎯

  • ⬜️ Fine-tunes hyperparameters intelligently
  • ⬜️ Selects the best model weights
  • ⬜️ Generates comprehensive training reports
  • ⬜️ Provides insights for future improvements

Next Steps 🌟

Ready to explore more? Here’s your roadmap:

Resource Description
💡 Tutorials Hands-on examples and guides
👥 Discord Community Join our active community
🔧 Commands Explore all available commands

Need help? Join our Discord community or check out our documentation.