Fine-tune LLaMA to speak like Homer Simpson. Replicate spent 90 minutes fine-tuning LLaMA on 60,000 lines of dialog from the first 12 seasons of the Simpsons, and now it can do a good job of producing invented dialog from any of the characters from the series. This is a really interesting result: I’ve been skeptical about how much value can be had from fine-tuning large models on just a tiny amount of new data, assuming that the new data would be statistically irrelevant compared to the existing model. Clearly my mental model around this was incorrect.
Recent articles
- CaMeL offers a promising new direction for mitigating prompt injection attacks - 11th April 2025
- Model Context Protocol has prompt injection security problems - 9th April 2025
- Long context support in LLM 0.24 using fragments and template plugins - 7th April 2025