A simulation of me: fine-tuning an LLM on 240k text messages

The article describes a personal project involving fine-tuning a Large Language Model (LLM) on a large dataset of text messages. This suggests exploration of personal data for AI model training, potentially for conversational simulation or personalized content generation. The scale of the dataset (240k messages) is significant, implying a substantial effort in data collection and model training. The focus is likely on the technical aspects of fine-tuning and the resulting model's ability to mimic the author's communication style.

• •The project involves fine-tuning an LLM on a large dataset of personal text messages.
• •The goal is likely to create a model that simulates the author's communication style.
• •The project highlights the potential of using personal data for AI model training and personalized applications.