🚀 Complete Workflow Guide

Step-by-step process from setup to deployment

1

Training Setup

Configure project, select model type, and set GPU parameters

2

Advanced Options

Fine-tune precision, optimizers, and training methods

3

Requirements

Generate dependencies and check for conflicts

4

API Keys

Set up HuggingFace and GitHub authentication

5

Build Package

Create complete training package for cloud deployment

6

Deploy & Monitor

Upload to cloud GPU and watch AI-powered monitoring

⏱️ Total Time: 15-45 minutes depending on complexity

🎯 Result: Ready-to-deploy training package with all dependencies

⚙️ Training Setup

Configure your AI model and training parameters

Training Setup Screenshot

Key Features:

  • Project naming and organization
  • Model type selection (Text, Vision, Multimodal)
  • GPU configuration and memory optimization
  • Automatic batch size calculation
  • Training parameter configuration

💡 Tip: For multimodal training, select both text and vision models. The system automatically calculates combined memory requirements.

🔧 Advanced Options

Fine-tune precision, optimizers, and training modes

Advanced Options Screenshot

🎯 Key Features:

  • 🤖 AI-Guided Optimization: GPT analyzes your training and suggests parameter adjustments
  • ⚡ Precision Settings: FP16, BF16, FP32, INT8, INT4 for memory optimization
  • 🧠 Smart Optimizers: AdamW, Lion, SGD with AI-recommended settings
  • 🎛️ Training Methods: Full, LoRA, QLoRA with automatic configuration
  • 📊 Real-time Monitoring: Live terminal feedback with AI insights

🤖 AI-Powered Dashboard

Revolutionary AI monitoring that sets EzEpoch apart

AI Dashboard Screenshot

🚀 Revolutionary AI Features:

  • 🤖 GPT Training Analysis: AI continuously monitors training progress and identifies issues
  • 💡 Smart Recommendations: Real-time suggestions for parameter adjustments
  • ⚠️ Predictive Alerts: AI predicts and prevents training failures before they happen
  • 📈 Intelligent Optimization: Automatic parameter tuning based on training patterns
  • 🎯 Performance Insights: AI explains why certain settings work better

🌟 EzEpoch's Competitive Edge: We're the ONLY platform that uses GPT to actively monitor and optimize your training in real-time. While others just show metrics, we provide intelligent insights that save you time, money, and prevent costly failures!

📋 Requirements

Generate dependencies and check for conflicts

Requirements Screenshot

Key Features:

  • PyTorch + Transformers compatibility presets
  • Automatic dependency generation (66+ packages)
  • Conflict checking and security analysis
  • Installation order optimization

💡 Tip: Use "Auto-Select" preset for best compatibility, or choose specific versions for your GPU.

🔑 API Keys

Set up authentication for external services

API Keys Screenshot

Key Features:

  • HuggingFace token for model access
  • GitHub token for research repositories
  • Eyeball button to show/hide tokens
  • Automatic token validation

💡 Tip: Click the 👁️ button to toggle token visibility. Tokens are securely stored.

📦 Build Package

Create complete training packages for deployment

Build Package Screenshot

Key Features:

  • Cloud provider selection (RunPod, Vast.ai, AWS)
  • Platform support configuration
  • Package contents overview
  • One-click package creation

💡 Tip: Enable "GPU Optimized" and "Cloud Features" for best performance on cloud platforms.

☁️ Cloud GPU Deployment

Deploy and run your training package on cloud GPUs

🚀 Quick Start:

  1. Download Package: Get your .zip file from the Saved Packages tab
  2. Upload to Cloud GPU: Transfer package to your RunPod, Vast.ai, or AWS instance
  3. Extract Package: Unzip the package in your cloud environment
  4. Run Training: Execute the training script

📋 Basic Commands:

# Extract the package
unzip ezepoch_package.zip
cd ezepoch_package

# Make scripts executable
chmod +x setup.sh

# Run setup (installs dependencies)
./setup.sh

# Start training
python main.py

🔍 What Happens When Training Starts:

  • Package authorizes with EzEpoch backend using your credentials
  • Session is deducted from your account
  • Unique session hash is generated for tracking
  • Real-time AI monitoring begins
  • Training progress appears in your Dashboard
  • AI provides intelligent recommendations and failure prevention

⚙️ Advanced Configuration:

💡 Environment Variables: Your package includes an `all.env` file with all configured settings. The training script uses your selected parameters automatically!

🛡️ Security:

  • Your API tokens are encrypted and embedded in the package
  • Authentication happens automatically with EzEpoch backend
  • Session tracking prevents unauthorized usage
  • All data transmission is encrypted

🤖 AI Monitoring is Always Active

Your training is continuously analyzed by GPT-powered AI that provides real-time insights, predicts failures, and suggests optimizations. This is what makes EzEpoch unique - intelligent training assistance that actually prevents problems!

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