| # ULTRATHINK Documentation | |
| This folder contains user and developer documentation for the ULTRATHINK project. | |
| Complete guides for training state-of-the-art language models. | |
| ## Getting Started (5 minutes) | |
| Start here if you're new to ULTRATHINK: | |
| 1. **[Installation](../INSTALLATION_GUIDE.md)** - Set up your environment | |
| 2. **[Getting Started](getting_started.md)** - Your first training run | |
| 3. **[Training Small Models](training_small.md)** - Best practices for small datasets | |
| ## Training Guides | |
| ### Basic Training | |
| - **[Training Small Models](training_small.md)** - Start with small datasets (recommended) | |
| - **[Google Colab](colab.md)** - Train with free GPU in your browser | |
| - **[Datasets](datasets.md)** - Using built-in, custom, and mixed datasets | |
| ### Advanced Training | |
| - **[DeepSpeed](training_deepspeed.md)** - ZeRO optimization for memory efficiency | |
| - **[Distributed Training](accelerate.md)** - Multi-GPU with Accelerate/DDP | |
| - **[Advanced Features](training_full.md)** - 4D parallelism, RLHF, MoE | |
| ## Reference | |
| - **[Model Card](../MODEL_CARD.md)** - Architecture specifications and limitations | |
| - **[Benchmarks](BENCHMARKS.md)** - Performance metrics and results | |
| - **[Framework Comparison](COMPARISON.md)** - vs GPT-NeoX, Megatron-LM, Axolotl | |
| - **[Troubleshooting](TROUBLESHOOTING.md)** - Common issues and solutions | |
| - **[Testing Guide](../TESTING_GUIDE.md)** - Running and writing tests | |
| - **[Development](development.md)** - Code structure and contributing | |
| - **[Evaluation](evaluation.md)** - Benchmarking your models | |
| - **[FAQ](faq.md)** - Common questions and solutions | |
| ## Planning & Community | |
| - **[Roadmap](ROADMAP.md)** - Future plans and features | |
| - **[Marketing Guide](MARKETING_GUIDE.md)** - Promotion strategy | |
| - **[Quick Start Promotion](QUICK_START_PROMOTION.md)** - 7-day launch plan | |
| ## Monitoring & Tools | |
| ULTRATHINK includes production-grade monitoring: | |
| ```python | |
| from src.monitoring import MetricsLogger | |
| # Track metrics | |
| metrics = MetricsLogger(window_size=100) | |
| metrics.log(loss, lr, model, batch_size, seq_length) | |
| ``` | |
| See [Testing Guide](../TESTING_GUIDE.md#monitoring--profiling) for details. | |
| ## Quick Reference | |
| | Task | Command | | |
| |------|---------| | |
| | Train tiny model | `python train_ultrathink.py --hidden_size 256 --num_layers 2` | | |
| | Profile model | `python scripts/profile_model.py --size tiny` | | |
| | Run tests | `pytest` | | |
| | Clean cache | `python scripts/cleanup.py` | | |
| ## Need Help? | |
| - **Issues**: [GitHub Issues](https://github.com/vediyappanm/UltraThinking-LLM-Training/issues) | |
| - **Discussions**: [GitHub Discussions](https://github.com/vediyappanm/UltraThinking-LLM-Training/discussions) | |
| - **FAQ**: [faq.md](faq.md) — Frequently asked questions | |