Fine-tune LLaMA to speak like Homer Simpson

What this post added

This post details the process of fine-tuning the LLaMA model to adopt the voice of Homer Simpson. It outlines the steps involved: acquiring a dataset of Simpsons script lines, parsing the data to create context-aware training examples (previous lines, character, and next line), modifying the training prompt to guide the model, and using a modified Alpaca codebase for fine-tuning. The post provides an example prompt and instructions for running the fine-tuned model.