12th April 2023 - Link Blog
Replacing my best friends with an LLM trained on 500,000 group chat messages (via) Izzy Miller used a 7 year long group text conversation with five friends from college to fine-tune LLaMA, such that it could simulate ongoing conversations. They started by extracting the messages from the iMessage SQLite database on their Mac, then generated a new training set from those messages and ran it using code from the Stanford Alpaca repository. This is genuinely one of the clearest explanations of the process of fine-tuning a model like this I’ve seen anywhere.
Recent articles
- Perhaps not Boring Technology after all - 9th March 2026
- Can coding agents relicense open source through a “clean room” implementation of code? - 5th March 2026
- Something is afoot in the land of Qwen - 4th March 2026