8th November 2023 - Link Blog
Fine-tuning GPT3.5-turbo based on 140k slack messages. Ross Lazerowitz spent $83.20 creating a fine-tuned GPT-3.5 turbo model based on 140,000 of his Slack messages (10,399,747 tokens), massaged into a JSONL file suitable for use with the OpenAI fine-tuning API.
Then he told the new model “write a 500 word blog post on prompt engineering”, and it replied “Sure, I shall work on that in the morning”.
Recent articles
- I vibe coded my dream macOS presentation app - 25th February 2026
- Writing about Agentic Engineering Patterns - 23rd February 2026
- Adding TILs, releases, museums, tools and research to my blog - 20th February 2026