Customize your AI with model fine tuning on Nvidia DGX Spark

In this code-along, you learn how to turn a generic, off-the-shelf LLM into a custom AI model that can answer domain-specific questions with speed and accuracy ⚡🤖 We’ll be using an NVIDIA DGX Spark desktop, featuring the latest Arm CPU and NVIDIA GPU combination, to fine-tune a Llama 3.2 model from Hugging Face with a custom dataset of Raspberry Pi device specifications. You’ll learn how to use PyTorch and Hugging Face Transformers to: • Load your model • Prepare your dataset • Train and fine-tune the model • Save your custom model You can then use this script and knowledge to apply different datasets to different models, creating your own models tailored specifically to your needs.