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Fine-tuning LLMs - D200: Machine Learning in Economics

This repository contains the hands-on notebooks used in the D200 course for fine-tuning LLMs.

The exercises focus on fine-tuning techniques (LoRA, DPO) using lightweight models that run on standard GPUs.

Setup Notes

All exercises are designed to run on ≥16GB NVIDIA GPUs, with constrained configurations to ensure reliability.

Usage

Work through the notebooks in order.
Try implementing each section yourself before checking the solutions.

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  • Jupyter Notebook 96.6%
  • Python 3.4%