I Trained an LLM on 75K of My Own Messages So It Would Stop Writing Like a Chatbot

1. 1Collect a large dataset of personal messages
2. 2Preprocess the data for LLM training
3. 3Fine-tune a pre-trained LLM model using the collected data
4. 4Evaluate the performance of the fine-tuned model
5. 5Deploy the model in a chatbot or other application to test its human-like responses

Developers and AI engineers can benefit from this approach to fine-tune LLMs for more personalized and natural-sounding responses

💡 Fine-tuning an LLM on personal data can significantly improve its ability to generate human-like responses

🤖 Train an LLM on your own messages to make it sound more human-like! 📱