# Tutorials

In this set of tutorials you will go through a set of hands-on notebooks that will teach you how to use and develop AI models on AMD technology.

Start by [setting up the environment](env/env.md) for your AMD hardware.

## Image Classification Tutorial

1. [Run a pre-trained image classification model on AMD technology from Hugging Face.](get-started/hf/mnist-mlp.ipynb)
1. [Train a Pneumonia detection model on AMD technology.](train/pneumonia_detection_pt)
1. [Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm](https://rocm.blogs.amd.com/artificial-intelligence/torch_compile/README.html)

## LLM Tutorial

1. [Run a pre-trained multimodal model from Hugging Face.](get-started/hf/phi-3-mini-instruct.ipynb)
1. [Fine-tune Llama3 to generate Markdown friendly Python functions](specializing/llama3-fine-tuning)
1. [Retrieval Augmented Generation (RAG) using LlamaIndex](https://rocm.blogs.amd.com/artificial-intelligence/rag-llamaindex/README.html)
1. [Leaner LLM Inference with INT8 Quantization on AMD GPUs using PyTorch](https://rocm.blogs.amd.com/artificial-intelligence/int8-quantization/README.html)

## Optimizing Tutorial

Coming soon

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Tom's and Kerwin contributions
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