AI Developer Hub

Welcome to the AI Developer Hub repository! This project contains Jupyter Notebook tutorials and guides for training, fine-tuning, and inference using popular machine learning frameworks on AMD GPUs.

Repository Structure

The tutorials are organized into three main categories:

• Fine-Tuning: Examples and guides for fine-tuning machine learning models.
• Pretraining: Tutorials on pretraining models from scratch.
• Inference: Resources for running inference with trained models.

Directory Layout

github_repo/
├── docs/                          # Documentation for the tutorials
│   ├── index.md                   # Main documentation index
│   ├── fine_tune.md               # Fine-tuning tutorials index
│   ├── pretrain.md                # Pretraining tutorials index
│   ├── inference.md               # Inference tutorials index
│   └── notebooks/                 # Jupyter notebooks organized by category
│       ├── fine_tune/             # Fine-tuning notebooks
│       ├── pretrain/              # Pretraining notebooks
│       └── inference/             # Inference notebooks

Getting Started

Build and View Documentation Locally

This guide explains how to set up and view the documentation locally.

Prerequisites

• Python 3.6 or later
• A virtual environment (recommended)

Setup Instructions

1. Clone the repository and navigate to the sphinx directory:

   git clone <repository-url>
   cd gpuaidev-docs/docs/sphinx

2. Activate a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install pip-tools:

   pip install pip-tools

4. Compile dependencies:

   pip-compile requirements.in

5. Install dependencies:

   pip install -r requirements.in

6. Build the documentation:

   make html

7. View the documentation locally: Open the build/index.html file in your browser.

Notes

• Ensure all dependencies are installed successfully.
• The build/index.html file contains the generated documentation in HTML format.